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cs.LG2021★ 45 cited
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong +2
There is an opportunity in modern power systems to explore the demand flexibility by incentivizing consumers with dynamic prices. In this paper, we quantify demand flexibility usin…
cs.LG2021★ 9 cited
Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
Yuyun Yang, Zhenfei Tan, Haitao Yang +2
In electricity markets, locational marginal price (LMP) forecasting is particularly important for market participants in making reasonable bidding strategies, managing potential tr…