An Bayesian learning and nonlinear regression model for photovoltaic power output forecasting

DOI10.2478/amns.2020.2.00032OpenAlexW3097790998MaRDI QIDQ2690788

Wengen Gao, Qigong Chen

Publication date: 17 March 2023

Published in: Applied Mathematics and Nonlinear Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amns.2020.2.00032

zbMATH Keywords

Bayesian learningprobabilistic modelpower output forecastingdata-based regression

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Applications of stochastic analysis (to PDEs, etc.) (60H30)

Related Items

NONLINEAR DYNAMIC CALIBRATION AND CORRECTION OF ACCELERATION SENSOR BASED ON ADAPTIVE NEURAL NETWORK ⋮ PARAMETER-VARYING ARTIFICIAL POTENTIAL FIELD CONTROL OF VIRTUAL COUPLING SYSTEM WITH NONLINEAR DYNAMICS

Cites Work

• 10.1162/15324430152748236
• Counting People With Low-Level Features and Bayesian Regression