Reinforcement learning in deregulated energy market: A comprehensive review

Z Zhu, Z Hu, KW Chan, S Bu, B Zhou, S Xia - Applied Energy, 2023 - Elsevier
The increasing penetration of renewable generations, along with the deregulation and
marketization of power industry, promotes the transformation of energy market operation …

[HTML][HTML] Stochastic Approaches to Energy Markets: From Stochastic Differential Equations to Mean Field Games and Neural Network Modeling

L Di Persio, M Alruqimi, M Garbelli - Energies, 2024 - mdpi.com
This review paper examines the current landscape of electricity market modelling,
specifically focusing on stochastic approaches, transitioning from Mean Field Games (MFGs) …

[HTML][HTML] Optimal bidding for large-scale hydropower stations serving multiple power grids in multi-regional monthly electricity markets

S Yu, J Shen, J Zhang, C Cheng - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Driven by the development of the multi-level and unified electricity market in China, large-
scale hydropower stations serving multiple power grids (LHSMPGs) have recently been …

Price formation in short-term electricity market scheduling

MH Bashi, H Gharibpour, P Lyons, I Rahmati… - Electric Power Systems …, 2023 - Elsevier
Price formation is important for monitoring/development of an electricity market since the
short/long-run efficiencies depend on the prices representing the economic signals …

Distinguishing the energy and non-energy actions in balancing energy markets

MH Bashi, H Gharibpour, D Carroll, MJ Kerin… - Electric Power Systems …, 2025 - Elsevier
In the European context, balancing energy markets are established to optimise transmission
system operator balancing actions closer to real-time. These actions aim to match total …

Local Markets in the Energy Sector Based on Distributed Ledger Technologies

GC Okwuibe - 2023 - mediatum.ub.tum.de
Local energy markets (LEMs) provide opportunities for consumers, prosumers and
producers to exchange their electricity within their local community. This dissertation …

Selected Applications of Reinforcement Learning in Electricity Markets: Strategic Bidding and Bidding Objective Identification

R Khalilisenobari - 2023 - search.proquest.com
Renewable energy and carbon reduction policies are creating new challenges for electricity
markets. To achieve carbon-free goals, large-scale battery energy storage systems (BESSs) …

SDEs and MFGs towards Machine Learning applications

M Garbelli - 2023 - iris.unitn.it
We present results that span three interconnected domains. Initially, our analysis is centred
on Backward Stochastic Differential Equations (BSDEs) featuring time-delayed generators …