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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...
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| Опубліковано в:: | MAGKS - Joint Discussion Paper Series in Economics (Band 35-2021) |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | англійська |
| Опубліковано: |
Philipps-Universität Marburg
2021
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| Предмети: | |
| Онлайн доступ: | PDF-повний текст |
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MAGKS - Joint Discussion Paper Series in Economics