Optimization of a Bayesian game for Peer-to-Peer trading among prosumers under incomplete information via a CNN-LSTM-ATT

Optimization of a Bayesian game for Peer-to-Peer trading among prosumers under incomplete information via a CNN-LSTM-ATT

In modern low-carbon industrial parks, various distributed renewable energy resources are employed to fulfill production needs. Despite the growing capacity of renewable energy generation, a significant portion of the power produced by these renewable resources remains unconsumed, resulting in a was...

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Bibliographic Details
Main Authors: Hongjie Jia, Wanxin Tang, Xiaolong Jin, Yunfei Mu, Dengxin Ai, Xiaodan Yu, Wei Wei
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Energy and AI
Subjects:
Bayesian game
Electricity energy price forecasting
Peer-to-peer transaction
Renewable energy consumption
Thermal dynamics
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824001034
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