Electric Energy Charge Biclustering A Genetic Algorithms Approach

The increased usage of Electric Vehicles (EV) due to the transition from fossil fuels to clean energy sources presents the challenge of integrating EV charging into the electrical grid, leading to the analysis of charging patterns for decision-making. This document proposes an evolutionary biclustering algorithm which main objective is to find EV charging patterns in a time series. The algorithm has been tested with real-life data. Our numerical simulation results proved that our algorithm is able to identify concurrent peak usage in different regions in big time intervals. This new technique can be used to avoid creation of new voltage peak and energy loss while integrating EV charge infrastructure into the current electrical grid.