Single Step Multivariate Solar Power Forecasting using Adaptive Learning Rate LSTM Model with Optimized Window Size

• Main Authors: Kunalan D., Krishnan P.S., Permal N.
• Other Authors: 56395450700
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: Adaptive Learning Rate; LSTM network; Optimized Window Size; PV generation; Solar Irradiation forecasting; Commerce; Forecasting; Learning algorithms; Solar energy; Solar power generation; Adaptive learning rates; Long short-term memory network; Memory network; Optimized window size; Optimized windows; Photovoltaic power; Photovoltaics generations; Solar irradiation; Solar irradiation forecasting; Window Size; Long short-term memory

Accurate photovoltaic (PV) power forecasting is crucial for the successful integration of residential PV systems into the electrical grid. It enables grid operators to optimize grid operations, ensure stability, facilitate market operations and trading, and plan for future system expansion. In this...