Application of reinforcement learning for energy consumption optimization of district heating system
Author:
Affiliation:
1. Aalto University,Department of Electrical Engineering and Automation,Espoo,Finland
2. Abo Akademi University,Department of Information Technology,Turku,Finland
3. Semantum Ltd,Espoo,Finland
Funder
Academy of Finland
China Scholarship Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10227852/10227910/10228102.pdf?arnumber=10228102
Reference24 articles.
1. A review of modelling and optimisation techniques for district heating systems
2. OpenAI Gym;brockman;ArXiv,2016
3. An optimization framework for the network design of advanced district thermal energy systems
4. Addressing Function Approximation Error in Actor-Critic Methods;fujimoto;ICML,2018
5. Peak shaving in district heating exploiting reinforcement learning and agent-based modelling
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