Evaluation of Machine Learning Methods on Large-Scale Spatiotemporal Data for Photovoltaic Power Prediction

Evaluation of Machine Learning Methods on Large-Scale Spatiotemporal Data for Photovoltaic Power Prediction

The exponential increase in photovoltaic (PV) arrays installed globally, particularly given the intermittent nature of PV generation, has emphasized the need to accurately forecast the predicted output power of the arrays. Regardless of the length of the forecasts, the modeling of PV arrays is made...

Full description

Bibliographic Details
Main Authors: Evan Sauter, Maqsood Mughal, Ziming Zhang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Energies
Subjects:
machine learning
deep learning
photovoltaic generation forecasting
spatiotemporal regression
Online Access:https://www.mdpi.com/1996-1073/16/13/4908

Internet

https://www.mdpi.com/1996-1073/16/13/4908

Similar Items