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...

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Bibliografische gegevens
Hoofdauteurs: Karina Vink, Eriko Ankyu, Yasunori Kikuchi
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2020-06-01
Reeks:Applied Sciences
Onderwerpen:
energy demand
long-term forecasting
machine learning
R programming
solar power generation
support vector regression
Online toegang:https://www.mdpi.com/2076-3417/10/13/4462

Internet

https://www.mdpi.com/2076-3417/10/13/4462

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