Machine Learning in Energy Forecasts with an Application to High Frequency Electricity Consumption Data

Machine Learning in Energy Forecasts with an Application to High Frequency Electricity Consumption Data

Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system, forecasts have to meet more complex requirements, such as increasing temporal and spatial resolution of data. The concept of machine learning can meet these requirements by providing diff...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:MAGKS - Joint Discussion Paper Series in Economics (Band 35-2021)
Päätekijät: Heilmann, Erik, Henze, Janosch, Wetzel, Heike
Aineistotyyppi: Artikkeli
Kieli:englanti
Julkaistu: Philipps-Universität Marburg 2021
Aiheet:
time series forecast
arti�cial neural network
electricity consumption forecast
machine learning
Wirtschaft
Economics
Linkit:PDF-kokoteksti
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MAGKS - Joint Discussion Paper Series in Economics

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