Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning

Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning

This article highlights the industry experience of the development and practical implementation of a short-term photovoltaic forecasting system based on machine learning methods for a real industry-scale photovoltaic power plant implemented in a Russian power system using remote data acquisition. On...

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Bibliographic Details
Main Authors: Alexandra I. Khalyasmaa, Stanislav A. Eroshenko, Valeriy A. Tashchilin, Hariprakash Ramachandran, Teja Piepur Chakravarthi, Denis N. Butusov
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
feature engineering
forecasting
graphical user interface software
machine learning
photovoltaic power plant
Online Access:https://www.mdpi.com/2072-4292/12/20/3420

Internet

https://www.mdpi.com/2072-4292/12/20/3420

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