Distributed Energy
Also known as:
id: pat_01kg5023wmf90bgv5h64xt0td9 page_url: https://commons-os.github.io/patterns/domain/78-distributed-energy/ github_url: https://github.com/commons-os/patterns/blob/main/_patterns/78-distributed-energy.md slug: 78-distributed-energy title: Distributed Energy aliases: [Distributed Generation, Decentralized Energy, Distributed Energy Resources (DER)] version: 1.0 created: 2026-01-28T00:00:00Z modified: 2026-01-28T00:00:00Z tags: universality: domain domain: operations category: [framework, methodology] era: [digital, cognitive] origin: [academic, industrial] status: draft commons_alignment: 4 commons_domain: business generalizes_from: [] specializes_to: [] enables: [] requires: [] related: [] contributors: [higgerix, cloudsters] sources: [https://www.epa.gov/energy/distributed-generation-electricity-and-its-environmental-impacts, https://justenergy.com/blog/distributed-energy/, https://docs.nrel.gov/docs/fy02osti/31570.pdf, https://www.sciencedirect.com/science/article/pii/S2211467X23000469, https://www.iea.org/reports/unlocking-the-potential-of-distributed-energy-resources] license: CC-BY-SA-4.0 attribution: Commons OS distributed by cloudsters, https://cloudsters.net repository: https://github.com/commons-os/patterns —
1. Overview (150-300 words)
Distributed Energy, also known as Distributed Generation or Distributed Energy Resources (DERs), represents a fundamental shift away from the traditional centralized model of electricity generation and distribution. Instead of relying on large, remote power plants, a distributed energy system is characterized by a network of smaller, modular, and geographically dispersed energy generation and storage technologies located at or near the point of consumption [1]. This proximity to the end-user is a defining feature, enabling a more resilient, efficient, and flexible energy grid. The core problem that Distributed Energy addresses is the inherent vulnerability and inefficiency of centralized power systems, which are susceptible to single points of failure, significant energy losses during long-distance transmission, and a lack of adaptability to changing energy demands and the integration of renewable sources. The value created by this pattern is multifaceted, encompassing improved grid reliability, reduced energy costs, lower carbon emissions, and greater energy independence for consumers and communities.
The origin of distributed energy is not tied to a single inventor or moment but has evolved with the advent of viable small-scale energy technologies. Early forms of distributed generation existed before the rise of centralized power grids in the 20th century. However, the modern resurgence of this pattern is driven by the convergence of several factors: the declining costs of renewable energy technologies like solar and wind, advancements in energy storage, and a growing imperative to decarbonize the energy sector and enhance grid resilience in the face of climate change and extreme weather events. The development of smart grid technologies and supportive policies, such as net metering and interconnection standards, have further accelerated the adoption of distributed energy systems, transforming the energy landscape from a one-way flow of power to a dynamic, multi-directional ecosystem of energy producers and consumers.
2. Core Principles (3-7 principles, 200-400 words)
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Decentralization of Generation: At its heart, the distributed energy pattern champions the decentralization of power generation. Instead of relying on a few large, centralized power plants, this principle advocates for a multitude of smaller, geographically dispersed generation sources. This distribution of energy production reduces the risk of widespread outages caused by the failure of a single large facility and creates a more robust and resilient energy system [2].
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Proximity to Consumption: A key tenet of distributed energy is the generation of power at or near the point of consumption. This proximity minimizes the energy losses that occur during long-distance transmission and distribution, which can be significant in traditional centralized systems. By generating energy locally, the overall efficiency of the energy system is improved, leading to cost savings and reduced environmental impact [1].
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Modularity and Scalability: Distributed energy systems are inherently modular and scalable. This means that they can be tailored to the specific energy needs of a home, business, or community, and can be easily expanded or contracted as those needs change. This flexibility allows for a more incremental and cost-effective approach to building out energy infrastructure, as opposed to the large, upfront investments required for centralized power plants [3].
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Grid Interconnection and Autonomy: Distributed energy resources can be designed to operate in two primary modes: grid-connected or islanded. In grid-connected mode, they can supplement the main power grid and even sell excess energy back to the utility. In island mode, they can operate independently, providing a reliable source of power during grid outages. This dual capability enhances the resilience of the energy system and provides greater energy security for consumers [2].
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Integration of Diverse Energy Sources: The distributed energy pattern facilitates the integration of a wide variety of energy sources, with a particular emphasis on renewables such as solar and wind. By allowing for the seamless incorporation of these intermittent energy sources at the local level, distributed energy plays a crucial role in the transition to a cleaner and more sustainable energy future [1].
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Bidirectional Energy and Information Flows: Unlike the traditional one-way flow of electricity from power plant to consumer, distributed energy enables a two-way, or even multi-way, flow of both energy and information. Consumers can become “prosumers,” both consuming and producing energy, and smart grid technologies allow for real-time communication and coordination between the various components of the distributed energy system [3].
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Enhanced System Resilience: By diversifying energy sources, decentralizing generation, and enabling localized power production, the distributed energy pattern significantly enhances the overall resilience of the energy system. This increased resilience makes the grid less vulnerable to disruptions from extreme weather events, physical or cyber attacks, and other unforeseen circumstances [2].
3. Key Practices (5-10 practices, 300-600 words)
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On-site Generation: This is the most fundamental practice of distributed energy, involving the installation of power generation equipment directly at the location where the energy will be consumed. This can range from rooftop solar panels on a residential home to a natural gas-powered generator at a commercial facility. For example, a manufacturing plant might install a large-scale solar array on its roof to power its operations during the day, significantly reducing its reliance on the grid [1].
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Cogeneration (Combined Heat and Power - CHP): CHP systems capture the waste heat that is a byproduct of electricity generation and use it for heating, cooling, or other industrial processes. This dramatically increases the overall energy efficiency of the system. A hospital, for instance, could use a CHP system to generate electricity for its medical equipment while using the captured heat to produce hot water and steam for sterilization and space heating [3].
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Energy Storage: The integration of energy storage systems, such as batteries, is a critical practice for managing the intermittency of renewable energy sources and enhancing grid stability. A homeowner with solar panels might install a battery storage system to store excess solar energy generated during the day for use at night or during a power outage. This practice increases self-consumption and provides a reliable backup power source [2].
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Microgrids: A microgrid is a localized, self-sufficient energy system that can connect and disconnect from the main power grid to operate in both grid-connected and “island” mode. This practice is particularly valuable for improving resilience in critical facilities and remote communities. A university campus, for example, could operate as a microgrid, generating its own power and maintaining operations even if the surrounding grid goes down [2].
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Net Metering: This billing mechanism allows consumers who generate their own electricity to sell any excess power they produce back to the utility. This practice provides a financial incentive for the adoption of distributed generation technologies. A residential customer with rooftop solar panels, for example, can earn credits on their electricity bill for the surplus energy they feed into the grid [2].
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Demand Response: Demand response programs incentivize consumers to reduce their electricity consumption during periods of high demand. This helps to balance the grid and avoid the need for expensive and polluting “peaker” power plants. A commercial building, for instance, might participate in a demand response program by temporarily reducing its lighting or adjusting its thermostat settings during peak hours in exchange for a financial reward [3].
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Renewable Energy Integration: A core practice of the distributed energy pattern is the seamless integration of renewable energy sources, particularly solar and wind, into the energy mix. This is essential for decarbonizing the electricity sector and mitigating the impacts of climate change. A community, for example, could develop a community solar project, allowing residents to collectively invest in and benefit from a shared solar array [1].
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Smart Grid Technology Implementation: The effective operation of a distributed energy system relies on the implementation of smart grid technologies, including advanced metering infrastructure (AMI), sensors, and control systems. These technologies enable real-time monitoring, communication, and control of the various distributed energy resources, optimizing their performance and ensuring the stability of the grid [3].
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Virtual Power Plants (VPPs): A VPP is a cloud-based distributed power plant that aggregates the capacity of various distributed energy resources, such as rooftop solar, battery storage, and demand response programs. By coordinating these resources, a VPP can provide the same services to the grid as a traditional power plant. For example, a VPP could be used to provide grid balancing services or to participate in wholesale energy markets.
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Electric Vehicle (EV) Integration: The growing adoption of electric vehicles presents a unique opportunity for distributed energy. Through vehicle-to-grid (V2G) technology, EV batteries can be used as a mobile form of energy storage, providing power back to the grid during times of high demand. This practice can help to stabilize the grid, reduce the need for new power plants, and provide a new revenue stream for EV owners [2].
4. Application Context (200-300 words)
- Best Used For:
- Improving energy resilience in critical facilities: Hospitals, data centers, military bases, and other critical infrastructure can use distributed energy systems, particularly microgrids, to ensure an uninterruptible power supply during grid outages.
- Reducing energy costs for commercial and industrial users: Businesses with high energy consumption can leverage on-site generation, such as solar panels or CHP systems, to lower their electricity bills and hedge against volatile energy prices.
- Providing electricity to remote and off-grid communities: Distributed energy is an ideal solution for electrifying rural and remote areas where extending the main grid is not economically or logistically feasible.
- Integrating renewable energy into the grid: The modular and decentralized nature of distributed energy makes it well-suited for integrating intermittent renewable energy sources like solar and wind at the local level.
- Enhancing grid stability and flexibility: By providing localized power generation and ancillary services, distributed energy resources can help to balance the grid, manage peak demand, and improve overall grid stability.
- Not Suitable For:
- Large-scale, baseload power generation: While distributed energy is excellent for supplementing the grid and providing localized power, it is not a direct replacement for the large-scale, baseload power plants that form the backbone of the traditional energy system.
- Applications with extremely limited space: Some distributed energy technologies, such as large solar arrays or wind turbines, require a significant physical footprint, making them unsuitable for dense urban environments with limited space.
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Scale: Individual/Team/Department/Organization/Multi-Organization/Ecosystem
- Domains:
- Energy & Utilities: The most obvious domain, where distributed energy is transforming the way electricity is generated, distributed, and consumed.
- Real Estate & Construction: The integration of distributed energy systems is becoming a key feature of modern building design, from residential homes to large commercial developments.
- Manufacturing & Industry: Industrial facilities are increasingly adopting distributed energy to reduce costs, improve reliability, and meet sustainability goals.
- Government & Public Sector: Municipalities, military bases, and other public entities are using distributed energy to enhance resilience and provide essential services.
- Agriculture: Farms and agricultural operations can use distributed energy, such as biomass or solar, to power their operations and reduce their environmental impact.
5. Implementation (400-600 words)
- Prerequisites:
- Clear Objectives and Feasibility Analysis: Before embarking on a distributed energy project, it is essential to have a clear understanding of the goals and objectives. This includes conducting a thorough feasibility study to assess the technical, economic, and regulatory viability of the project.
- Site Assessment: A comprehensive site assessment is necessary to determine the most suitable distributed energy technologies for a particular location. This includes evaluating factors such as available space, solar insolation, wind resources, and access to fuel sources.
- Supportive Regulatory and Policy Environment: The successful implementation of distributed energy projects often depends on a supportive regulatory and policy framework. This includes policies such as net metering, interconnection standards, and financial incentives.
- Getting Started:
- Energy Audit and Load Profiling: The first step in implementing a distributed energy project is to conduct a detailed energy audit and load profiling to understand the facility’s energy consumption patterns. This information is crucial for sizing the distributed energy system appropriately.
- Technology Selection and System Design: Based on the results of the energy audit and site assessment, the next step is to select the most appropriate distributed energy technologies and design the system. This includes considering factors such as cost, efficiency, reliability, and environmental impact.
- Financing and Procurement: Once the system has been designed, the next step is to secure financing and procure the necessary equipment. There are a variety of financing options available for distributed energy projects, including direct ownership, leasing, and power purchase agreements (PPAs).
- Installation and Commissioning: The installation and commissioning of the distributed energy system should be carried out by qualified professionals to ensure that it is installed safely and correctly. This includes obtaining all necessary permits and inspections.
- Operation and Maintenance: Ongoing operation and maintenance are essential for ensuring the long-term performance and reliability of the distributed energy system. This includes regular inspections, cleaning, and repairs.
- Common Challenges:
- Interconnection with the Grid: Interconnecting a distributed energy system with the main power grid can be a complex and time-consuming process. It is important to work closely with the local utility to ensure that the interconnection process goes smoothly.
- Regulatory and Permitting Hurdles: Navigating the regulatory and permitting landscape for distributed energy projects can be challenging. It is important to be aware of all applicable regulations and to obtain all necessary permits before starting construction.
- Financing and Upfront Costs: The upfront costs of distributed energy systems can be a significant barrier for some consumers. However, there are a variety of financing options available to help offset these costs.
- Success Factors:
- Strong Project Management: The successful implementation of a distributed energy project requires strong project management skills to ensure that it is completed on time and on budget.
- Collaboration with Stakeholders: Close collaboration with all stakeholders, including the local utility, regulators, and the community, is essential for the success of a distributed energy project.
- Long-Term Operation and Maintenance Plan: A well-defined long-term operation and maintenance plan is crucial for ensuring the continued performance and reliability of the distributed energy system.
6. Evidence & Impact (300-500 words)
- Notable Adopters:
- Google: The tech giant has been a major investor in distributed energy, with large-scale solar and wind projects powering its data centers around the world.
- Walmart: The retail corporation has installed solar panels on the rooftops of hundreds of its stores, making it one of the largest commercial solar users in the United States.
- Kaiser Permanente: The healthcare provider has implemented distributed energy systems, including solar and battery storage, at its hospitals and medical facilities to improve resilience and reduce its carbon footprint.
- U.S. Military: Various branches of the U.S. military have deployed microgrids and other distributed energy resources at their bases to enhance energy security and reduce reliance on the civilian grid.
- Island of Ta’u, American Samoa: This small island replaced its diesel generators with a microgrid powered by solar panels and battery storage, providing a reliable and sustainable source of electricity for its residents [2].
- Documented Outcomes:
- Increased Grid Reliability: The implementation of distributed energy systems has been shown to improve grid reliability and reduce the frequency and duration of power outages. For example, the microgrid on the island of Ta’u has provided a consistent and reliable power supply, even during periods of inclement weather [2].
- Reduced Energy Costs: By generating their own electricity, consumers can significantly reduce their energy costs. For example, Walmart’s on-site solar installations have helped the company to save millions of dollars on its electricity bills.
- Lower Carbon Emissions: The widespread adoption of distributed renewable energy technologies has led to a significant reduction in greenhouse gas emissions. For example, Google’s investment in renewable energy has helped the company to achieve its goal of being carbon neutral.
- Enhanced Energy Security: Distributed energy systems can enhance energy security by reducing reliance on centralized power grids and imported fuels. For example, the U.S. military’s use of microgrids has improved the energy resilience of its bases and reduced their vulnerability to attack.
- Research Support:
- National Renewable Energy Laboratory (NREL): NREL has conducted extensive research on distributed energy, including studies on the technical and economic potential of various distributed energy technologies. Their work has been instrumental in advancing the development and deployment of distributed energy systems [3].
- Lawrence Berkeley National Laboratory: This research institution has published numerous studies on the benefits of distributed energy, including its potential to improve grid reliability, reduce costs, and lower emissions.
- International Energy Agency (IEA): The IEA has recognized the growing importance of distributed energy in the global energy transition and has published several reports on the topic, highlighting its potential to transform the energy sector.
7. Cognitive Era Considerations (200-400 words)
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Cognitive Augmentation Potential: The cognitive era, characterized by the proliferation of artificial intelligence and machine learning, is poised to significantly augment the distributed energy pattern. AI-powered algorithms can optimize the dispatch of distributed energy resources in real-time, taking into account factors such as weather forecasts, energy prices, and grid conditions. This can lead to more efficient and cost-effective operation of distributed energy systems. For example, an AI-powered home energy management system could learn a homeowner’s energy consumption patterns and automatically adjust the charging and discharging of their battery storage system to maximize their savings.
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Human-Machine Balance: While AI and automation will play an increasingly important role in the operation of distributed energy systems, the human element will remain crucial. Humans will still be needed to design, install, and maintain distributed energy equipment, as well as to make high-level decisions about the overall strategy and direction of the energy system. The key will be to find the right balance between human oversight and machine automation, ensuring that the system is both efficient and resilient.
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Evolution Outlook: In the cognitive era, the distributed energy pattern is likely to evolve from a collection of individual, siloed resources into a highly interconnected and intelligent network. The rise of the Internet of Things (IoT) will enable seamless communication and coordination between millions, or even billions, of distributed energy devices. This will create a truly decentralized and democratized energy system, where consumers have more control over their energy choices and can actively participate in the energy market. Furthermore, the integration of blockchain technology could enable secure and transparent peer-to-peer energy trading, further empowering consumers and disrupting the traditional utility business model.
8. Commons Alignment Assessment (v2.0)
This assessment evaluates the pattern based on the Commons OS v2.0 framework, which focuses on the pattern’s ability to enable resilient collective value creation.
1. Stakeholder Architecture: The Distributed Energy pattern fundamentally reconfigures stakeholder roles from a centralized to a networked model. It empowers consumers to become “prosumers,” granting them the Right to generate their own energy and the Responsibility to manage their local resources. Utilities shift from sole providers to platform orchestrators, responsible for maintaining grid stability and facilitating energy exchange. This architecture also implicitly includes technology providers, who are responsible for the quality and interoperability of DERs, and the environment, which benefits from the integration of cleaner energy sources.
2. Value Creation Capability: The pattern unlocks diverse forms of value beyond purely economic returns. It creates ecological value by facilitating the integration of renewable energy sources, reducing carbon emissions. Resilience value is generated by decentralizing the grid, making it less susceptible to large-scale failures. Social value emerges through community energy projects and increased energy independence, fostering local self-sufficiency and empowerment.
3. Resilience & Adaptability: Distributed Energy is inherently designed for resilience and adaptability. Its decentralized topology ensures that local failures do not cascade into widespread outages, allowing the system to maintain coherence under stress. The modularity of DERs allows the system to adapt and scale incrementally to meet changing energy demands. The pattern thrives on change by design, enabling the seamless integration of new technologies like battery storage and electric vehicles.
4. Ownership Architecture: This pattern moves beyond traditional ownership of assets to a more nuanced architecture of Rights and Responsibilities. While a homeowner may own their solar panels (monetary equity), they also gain the Right to produce energy and the Responsibility to maintain their equipment. Net metering and VPPs introduce shared ownership models where the value of distributed assets is collectively managed and exchanged, defining ownership through participation and contribution rather than just capital investment.
5. Design for Autonomy: The pattern is highly compatible with autonomous systems. AI and machine learning are critical for optimizing energy flows in real-time within VPPs and microgrids, minimizing coordination overhead. The decentralized nature of DERs aligns perfectly with the principles of distributed ledger technology and DAOs, which can be used to manage community-owned energy projects and facilitate peer-to-peer energy trading in a transparent and automated manner.
6. Composability & Interoperability: Distributed Energy is a foundational pattern that is highly composable with other patterns to create larger value-creation systems. It serves as the building block for Microgrids, Virtual Power Plants (VPPs), and Smart Grids. Its effectiveness is amplified when combined with patterns for data sharing and governance, creating a sophisticated, multi-layered energy ecosystem. However, achieving full interoperability requires standardized communication protocols and regulatory frameworks.
7. Fractal Value Creation: The logic of distributed value creation is fractal, applying across multiple scales. At the smallest scale, a single home can become a self-sufficient energy node. This scales up to a neighborhood microgrid, a community-wide VPP, and ultimately a regional or national smart grid composed of countless distributed resources. The core principles of local generation, consumption, and exchange remain consistent, demonstrating the pattern’s fractal nature.
Overall Score: 4 (Value Creation Enabler)
Rationale: Distributed Energy is a powerful enabler of collective value creation, fundamentally shifting the energy paradigm towards a more resilient, decentralized, and participatory model. It establishes a strong foundation for a commons-based approach by distributing rights and responsibilities, fostering diverse value creation, and exhibiting high adaptability and composability. It falls short of a full “Value Creation Architecture” (Score 5) because its success is heavily dependent on the existence of supportive regulatory frameworks, interoperability standards, and market mechanisms that are often external to the pattern itself.
Opportunities for Improvement:
- Develop standardized legal and governance frameworks for community-owned energy projects to simplify their creation and management.
- Create open-source hardware and software standards to ensure interoperability between different DER technologies and platforms.
- Design new market models that explicitly reward the creation of social and ecological value, not just the production of kilowatt-hours.
9. Resources & References (200-400 words)
- Essential Reading:
- “Small is Beautiful: Economics as if People Mattered” by E.F. Schumacher: While not explicitly about distributed energy, this classic book provides a powerful philosophical foundation for the principles of decentralization and local self-reliance that are at the heart of the distributed energy pattern.
- “Reinventing Fire: Bold Business Solutions for the New Energy Era” by Amory Lovins and Rocky Mountain Institute: This book offers a comprehensive and compelling vision for a clean energy future, with a strong emphasis on the role of distributed energy resources.
- “The Third Industrial Revolution: How Lateral Power Is Transforming Energy, the Economy, and the World” by Jeremy Rifkin: Rifkin argues that the convergence of renewable energy and the internet is creating a new economic paradigm based on distributed, collaborative, and peer-to-peer power.
- Organizations & Communities:
- Rocky Mountain Institute (RMI): A leading non-profit organization that works to accelerate the transition to a clean, prosperous, and secure low-carbon energy future. RMI has published extensive research on distributed energy and is actively involved in a variety of projects to promote its adoption.
- Solar Energy Industries Association (SEIA): The national trade association for the U.S. solar energy industry, SEIA is a key advocate for policies that support the growth of distributed solar.
- The Microgrid Institute: An organization dedicated to the promotion of microgrids and distributed energy resources. The Microgrid Institute provides information, education, and training on all aspects of microgrid development and operation.
- Tools & Platforms:
- HOMER (Hybrid Optimization of Multiple Energy Resources) Pro: A software tool developed by NREL that is widely used for designing and analyzing microgrids and other distributed energy systems.
- OpenDSS (Open Distribution System Simulator): An open-source software tool for simulating and analyzing electric power distribution systems. OpenDSS is a valuable tool for researchers and engineers working on distributed energy integration.
- Powerledger: A blockchain-based platform that enables peer-to-peer energy trading. Powerledger is a leading example of how new technologies are being used to create a more decentralized and democratized energy system.
- References:
- [1] U.S. Environmental Protection Agency. (2025, April 2). Distributed Generation of Electricity and its Environmental Impacts. https://www.epa.gov/energy/distributed-generation-electricity-and-its-environmental-impacts
- [2] Just Energy. (2023, March 7). What Is Distributed Energy and How Does It Work? https://justenergy.com/blog/distributed-energy/
- [3] National Renewable Energy Laboratory. (2002). Using Distributed Energy Resources: A How-To Guide for Federal Facility Managers. https://docs.nrel.gov/docs/fy02osti/31570.pdf
- [4] Nadeem, T. B., et al. (2023). Distributed energy systems: A review of classification, technologies, applications, and policies. ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2211467X23000469
- [5] International Energy Agency. (2022, May 6). Unlocking the Potential of Distributed Energy Resources. https://www.iea.org/reports/unlocking-the-potential-of-distributed-energy-resources