A Lightweight Energy Management Method for Hybrid PV/Battery/Load Systems

no code implementations • 11 Jan 2024 • Mohsen Banaei, Razgar Ebrahimy, Henrik Madsen

In this paper, a computationally lightweight algorithm is introduced for hybrid PV/Battery/Load systems that is price responsive, responds fast, does not require powerful hardware, and considers the operational limitations of the system.

energy management Management +1

Nash Equilibrium of Joint Day-ahead Electricity Markets and Forward Contracts in Congested Power Systems

no code implementations • 12 Oct 2023 • Mohsen Banaei, Majid Oloomi Buygi, Hani Raouf-Sheybani, Razgar Ebrahimy, Henrik Madsen

In this paper, a Cournot Nash equilibrium model is proposed to study the behavior of market players in the forward contract market and the day-ahead electricity market in a congested power system with large-scale integration of WPPs.

Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning

no code implementations • 10 Mar 2020 • Kenneth Leerbeck, Peder Bacher, Rune Junker, Goran Goranović, Olivier Corradi, Razgar Ebrahimy, Anna Tveit, Henrik Madsen

The analysis was done on data set comprised of a large number (473) of explanatory variables such as power production, demand, import, weather conditions etc.

BIG-bench Machine Learning feature selection +1