76 citations · 153 across the 21 of their papers we have counts for
4 papers · 1 filter
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach
Linwei Sang, Yinliang Xu, Huan Long +2
Electricity price prediction plays a vital role in energy storage system (ESS) management. Current prediction models focus on reducing prediction errors but overlook their impact o…
Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side
Jinsong Sang, Hongbin Sun, Lei Kou
As an efficient way to integrate multiple distributed energy resources and the user side, a microgrid is mainly faced with the problems of small-scale volatility, uncertainty, inte…
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
Haizhou Liu, Xuan Zhang, Xinwei Shen +1
In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transforme…
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning
Haizhou Liu, Xuan Zhang, Xinwei Shen +1
With the deployment of smart sensors and advancements in communication technologies, big data analytics have become vastly popular in the smart grid domain, informing stakeholders…