Hybrid deep learning techniques for providing incentive price in electricity market.

Tan Cheng Xiaohan Li Yingdong Li

Published in: Comput. Electr. Eng. (2022)

Keyphrases

deep learning
electricity markets
electric power
unsupervised learning
machine learning
market participants
unsupervised feature learning
deep architectures
wind power
weakly supervised
software agents
power generation
expert systems
mental models
bidding strategies
information extraction
multi agent
case study