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Using weather data in energy time series forecasting: the benefit of input data transformations

Using weather data in energy time series forecasting: the benefit of input data transformations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7fe36b276171407f92a995d9ef748f9e

Using weather data in energy time series forecasting: the benefit of input data transformations

About this item

Full title

Using weather data in energy time series forecasting: the benefit of input data transformations

Publisher

Cham: Springer International Publishing

Journal title

Energy Informatics, 2023-12, Vol.6 (1), p.44-23, Article 44

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Renewable energy systems depend on the weather, and weather information, thus, plays a crucial role in forecasting time series within such renewable energy systems. However, while weather data are commonly used to improve forecast accuracy, it still has to be determined in which input shape this weather data benefits the forecasting models the most...

Alternative Titles

Full title

Using weather data in energy time series forecasting: the benefit of input data transformations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7fe36b276171407f92a995d9ef748f9e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7fe36b276171407f92a995d9ef748f9e

Other Identifiers

ISSN

2520-8942

E-ISSN

2520-8942

DOI

10.1186/s42162-023-00299-8

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