Long-Term Forecasting Potential of Photo-Voltaic Electricity Generation and Demand Using R

Long-Term Forecasting Potential of Photo-Voltaic Electricity Generation and Demand Using R

For micro-grid cost-benefit analyses, both energy production and demand must be estimated on the long-term of one year. However, there remains a scarcity of studies predicting energy production and demand simultaneously and in the long-term. By means of programming in R and applying linear, non-line...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser:	Karina Vink, Eriko Ankyu, Yasunori Kikuchi
Format:	Artikel
Sprache:	English
Veröffentlicht:	MDPI AG 2020-06-01
Schriftenreihe:	Applied Sciences
Schlagworte:	energy demand long-term forecasting machine learning R programming solar power generation support vector regression
Online Zugang:	https://www.mdpi.com/2076-3417/10/13/4462

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