Methods for mitigating uncertainty in real-time operations of a connected microgrid

SP Panda, B Genest, A Easwaran… - … Energy, Grids and …, 2024 - Elsevier
In this paper, we compare the effectiveness of a two-stage control strategy for the energy
management system (EMS) of a grid-connected microgrid under uncertain solar irradiance …

[HTML][HTML] Evaluating Reinforcement Learning Algorithms in Residential Energy Saving and Comfort Management

CR Lazaridis, I Michailidis, G Karatzinis, P Michailidis… - Energies, 2024 - mdpi.com
The challenge of maintaining optimal comfort in residents while minimizing energy
consumption has long been a focal point for researchers and practitioners. As technology …

Sizing, operation, and evaluation of battery energy storage with dynamic line rating and deep learning

V Avkhimenia - 2023 - era.library.ualberta.ca
Integration of renewables has the potential to reduce society's reliance on carbonbased
fuels. Sizing renewable-energy installations is key to making a successful business case for …

[HTML][HTML] Deep Reinforcement Learning-Based Operation of Transmission Battery Storage with Dynamic Thermal Line Rating

V Avkhimenia, M Gemignani, T Weis, P Musilek - Energies, 2022 - mdpi.com
It is well known that dynamic thermal line rating has the potential to use power transmission
infrastructure more effectively by allowing higher currents when lines are cooler; however, it …

Contributions au contrôle et au dimensionnement des micro-réseaux par apprentissage par renforcement: application aux systèmes avec production renouvelable et …

V Père - 2023 - theses.hal.science
Le couplage de panneaux photovoltaïques avec une batterie électrochimique permet
d'atténuer le déphasage journalier entre production et demande d'électricité dans un micro …