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…