Real-time optimization in electric vehicle stations using artificial neural networks

Abstract The current study proposes a smart decision-making algorithm to be utilized in electric vehicle stations. suggested approach emphasizes the prediction of queuing delay seeking for minimum total charging time. For this purpose, artificial neural network (ANN) model is used, where dataset pre-generated seeded into model. proposed effectiveness can proven when number arriving vehicles at station exceeds maximum points station. accuracy was recorded reach 89%. validity, ANN evaluated with respect meta-heuristic optimizer, showing reduced time by 2.5%, and 23.9% bare no optimization. As final validation step, physical realization conducted emulating as transmitting node receiving node.