Photovoltaic power analysis and prediction using machine learning methods
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Kansas State University
Abstract
The stochastic nature of Photovoltaic power directly affects the stability of the grid. PV power forecasting allows power stations to know beforehand how much PV power will be available, which ensures that the grid remains in stabilized condition. PV power from India is analyzed and predicted using machine learning methods
Description
Keywords
Photovoltaic, Random Forest, Confusion Matrix
Graduation Month
August
Degree
Master of Science
Department
Department of Electrical and Computer Engineering
Major Professor
Mohammad B. Shadmand
Date
Type
Report