43 citations · 57 across the 4 of their papers we have counts for
4 papers
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
Vasilis Michalakopoulos, Christoforos Menos-Aikateriniadis, Elissaios Sarmas +3
This study investigates the performance of machine learning models in forecasting electricity Day-Ahead Market (DAM) prices using short historical training windows, with a focus on…
Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility
Christoforos Menos-Aikateriniadis, Stavros Sykiotis, Pavlos S. Georgilakis
The rapid growth of decentralized energy resources and especially Electric Vehicles (EV), that are expected to increase sharply over the next decade, will put further stress on exi…
Solar Power driven EV Charging Optimization with Deep Reinforcement Learning
Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis +2
Power sector decarbonization plays a vital role in the upcoming energy transition towards a more sustainable future. Decentralized energy resources, such as Electric Vehicles (EV)…
Voltage Regulation Support Along a Distribution Line by a Virtual Power Plant Based on a Center of Mass Load Modeling
Panayiotis Moutis, Pavlos S. Georgilakis, Nikos D. Hatziargyriou
A voltage regulation method for slow voltage variations at distribution level is proposed, based on a view of the loads, generators and storage along a distribution line as point w…