Forecasting of Individual Electricity Usage Using Smart Meter Data

• Autorzy: Tomasz Ząbkowski , Krzysztof Gajowniczek
• Języki publikacji: EN

Abstrakty

EN

Forecasting electricity usage is an important task to provide intelligence to the smart gird. The customers will benefit from metering solutions through greater understanding of their own energy consumption and future projections, allowing them to better manage costs of their usage. In this proof of concept paper, we show the approach for short term electricity load forecasting for 24 hours ahead, calculated on the individual household level. In this context authors will develop an approach to the analysis and prediction using Multivariate Adaptive Regression Splines (MARSplines). (original abstract)

Słowa kluczowe

PL

Prognozowanie; Zużycie energii; Energia elektryczna

EN

Forecasting; Energy use; Electric power

• Czasopismo: Metody Ilościowe w Badaniach Ekonomicznych / Szkoła Główna Gospodarstwa Wiejskiego
• Rocznik: 2013
• Tom: 14(XIV)
• Numer: nr 2
• Strony: 289-297

Twórcy

autor

Tomasz Ząbkowski

• Szkoła Główna Gospodarstwa Wiejskiego w Warszawie

autor

Krzysztof Gajowniczek

• Szkoła Główna Gospodarstwa Wiejskiego w Warszawie

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