Load Forecasting with LSTM and Loss of Life Estimation of Distribution Transformer Considering the Impacts of Electric Vehicle
摘要
Electric vehicle is becoming an extra load on the existing power grid. Integration of electric vehicle in electrical network increases power quality issues and deterioration of electrical assets like transformer. The increase in load on the electrical system and its impact on electrical assets need to be analyzed properly. Hence, this work focuses on LSTM—a deep learning ANN model-based load forecasting and loss of life (LoL) estimation considering the impact of electric vehicles (EV). The load forecast RMSE for LSTM model is obtained as 0.72411.