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Forecasting Irregular Seasonal Power Consumption. An Application to a Hot-Dip Galvanizing Process

Distribution companies use time series to predict electricity consumption. Forecasting techniques based on statistical models or artificial intelligence are used. Reliable forecasts are required for efficient grid management in terms of both supply and capacity. One common underlying feature of most...

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書誌詳細
主要な著者: Oscar Trull, Juan Carlos García-Díaz, Angel Peiró-Signes
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2020-12-01
シリーズ:Applied Sciences
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オンライン・アクセス:https://www.mdpi.com/2076-3417/11/1/75
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