中国电机工程学会电力与能源系统学报（英文版）2019，Vol.5Issue(4)：423-432,10.DOI:10.17775/CSEEJPES.2019.00590
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning
Frederik Ruelens 1Bert J. Claessens 2Peter Vrancx 3Fred Spiessens 4Geert Deconinck1
作者信息
- 1. Department of Electrical Engineering,KU Leuven/EnergyVille,3001 Leuven,Belgium
- 2. REstore,Centrica,2600 Antwerp,Belgium
- 3. AI-lab,Vrije Universiteit Brussel,1050 Brussels,Belgium
- 4. Vito/EnergyVille,2600 Mol,Belgium
- 折叠
摘要
关键词
Convolutional networks/deep reinforcement learning/long short-term memory/residential demand responseKey words
Convolutional networks/deep reinforcement learning/long short-term memory/residential demand response引用本文复制引用
Frederik Ruelens,Bert J. Claessens,Peter Vrancx,Fred Spiessens,Geert Deconinck..Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning[J].中国电机工程学会电力与能源系统学报（英文版）,2019,5(4):423-432,10.
