AdaSpline-Net for Improved Short-Term Solar Irradiance Forecasting

• Published in: IEEE access Vol. 13; p. 1
• Main Authors: Koh, Ngiap Tiam, Sharma, Anurag, Xiao, Jianfang, Chin, Cheng Siong, Xing, Chin Jun, Woo, Wai Lok
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Adaptation models; Adaptive Moment Estimation; Algorithms; Attention layer; B spline functions; B-Splines; Back propagation; Back propagation networks; Data models; Datasets; Forecasting; Irradiance; Meteorology; Neural networks; Optimization; Parameters; Polynomials; Predictive models; Solar irradiance; Splines (mathematics); Training

Neural networks utilizing backpropagation are a powerful tool for solar irradiance forecasting, which is vital for climate research and energy market operations. This study addresses the challenge of modeling complex, nonlinear relationships between weather parameters by introducing an innovative ad...