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Trading between households in smart energy communities

Trading between households in smart energy communities
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United Kingdom , Noord Holland , Ying Zhang , Valentin Robu , Princeton University , National Research Institute For Mathematics Computer Science , University Of Glasgow United Kingdom , Applied Energy , National Research Institute , Computer Science , Delft University , Eindhoven University , Marie Curie ,

Artificial intelligence enables smart control and fair sharing of resources in energy communities


Credit: HW University
Energy communities will play a key role in building the more decentralised, less carbon intensive, and fairer energy systems of the future. Such communities enable local prosumers (consumers with own generation and storage) to generate, store and trade energy with each other using locally owned assets, such as wind turbines, rooftop solar panels and batteries. In turn, this enables the community to use more locally generated renewable generation, and shifts the market power from large utility companies to individual prosumers.
Energy community projects often involve jointly-owned assets such as community-owned wind turbines or shared battery storage. Yet, this raises the question of how these assets should be controlled - often in real time, and how the energy outputs jointly-owned assets should be shared fairly among community members, given not all members have the same size, energy needs or demand profiles. ....

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