The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation

The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation

The paper reports the forecasting model for multiple time-domain photovoltaic power plants, developed in response to the necessity of bad weather days’ accurate and robust power generation forecasting. We provide a brief description of the piloted short-term forecasting system and place under close...

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Bibliographic Details
Main Authors:	Stanislav A. Eroshenko, Alexandra I. Khalyasmaa, Denis A. Snegirev, Valeria V. Dubailova, Alexey M. Romanov, Denis N. Butusov
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Series:	Applied Sciences
Subjects:	photovoltaic power plant short-term forecasting data processing data filtration k-nearest neighbors regression
Online Access:	https://www.mdpi.com/2076-3417/10/22/8265

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