Efficient Mid-Term Forecasting of Hourly Electricity Load Using Generalized Additive Models

Author:

Zimmermann Monika,Ziel Florian

Publisher

Elsevier BV

Reference64 articles.

1. Long term load forecasting with hourly predictions based on long-short-term-memory networks;R K Agrawal;2018 IEEE Texas Power and Energy Conference (TPEC),2018

2. Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks;N Bashiri Behmiri;Energy,2023

3. How to model European electricity load profiles using artificial neural networks;C Behm;Applied Energy, 277 , 115564,2020

4. The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach;M Bessec;Energy Economics,2008

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