[HTML][HTML] Reinforcement learning-driven local transactive energy market for distributed energy resources
Local energy markets are emerging as a tool for coordinating generation, storage, and
consumption of energy from distributed resources. In combination with automation, they …
consumption of energy from distributed resources. In combination with automation, they …
Reinforcement Learning Meets Microeconomics: Learning to Designate Price-Dependent Supply and Demand for Automated Trading
Ł Lepak, P Wawrzyński - Joint European Conference on Machine Learning …, 2024 - Springer
The ongoing energy transition towards renewable sources increases the importance of
energy exchanges and creates demand for automated trading tools on these exchanges …
energy exchanges and creates demand for automated trading tools on these exchanges …
On-line reinforcement learning for optimization of real-life energy trading strategy
Ł Lepak, P Wawrzyński - arXiv preprint arXiv:2303.16266, 2023 - arxiv.org
An increasing share of energy is produced from renewable sources by many small
producers. The efficiency of those sources is volatile and, to some extent, random …
producers. The efficiency of those sources is volatile and, to some extent, random …
[PDF][PDF] Automated Coordination of Distributed Energy Resources using Local Energy Markets and Reinforcement Learning
DC May - 2024 - era.library.ualberta.ca
The conventional unidirectional model of the electricity grid operations is no longer
sufficient. The continued proliferation of distributed energy resources and the resultant surge …
sufficient. The continued proliferation of distributed energy resources and the resultant surge …
Quantifying Self-consumption and Flexibility Provision through Battery Storage, a Deep Reinforcement Learning Approach
The rapid uptake of photovoltaics (PV) and energy storage system (ESS) is becoming an
important contributor to the smart energy system in many countries, institutions, and homes …
important contributor to the smart energy system in many countries, institutions, and homes …