Conference
Aug 2026
Hourly Photovoltaic Energy Forecasting in Equatorial Indonesia Using 1D Convolutional Neural Networks and NASA POWER Reanalysis Data
Accurate hourly prediction of Photovoltaic (PV) energy output is critical for grid integration of renewable energy systems. This paper presents a systematic comparison of four models—Linear Regression (LR), Support Vector Regression (SVR), Long Short-Term Memory (LSTM), and a proposed 1D Convolutional Neural Network (1...
Hamdani Hamdani, I. D. Sara, T. Tarmizi et al.
· 2026 IEEE International Conf... · 0 citations