Multiplicative neuron models for very short-term load forecasting
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02496-4.pdf
Reference15 articles.
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2. Sun J, Dong H, Gao Y, Fang Y, Kong Y (2021) The short-term load forecasting using an artificial neural network approach with periodic and nonperiodic factors: a case study of Tai’an, Shandong Province. China Comput Intell Neurosci 2021:1–8. https://doi.org/10.1155/2021/1502932
3. Arvanitidis AI, Bargiotas D, Daskalopulu A, Laitsos VM, Tsoukalas LH (2021) Enhanced short-term load forecasting using artificial neural networks. Energies 14(22):1–14. https://doi.org/10.3390/en14227788
4. Kiartzis SJ, Bakirtzis AG, Petridis V (1995) Short-term load forecasting using neural networks. Electric Power Syst Res 33(1):1–6. https://doi.org/10.1016/0378-7796(95)00920-D
5. Vinutha HD, Gouda KC, Chandan KN (2014) Electric load forecasting using a neural network approach. Int. J. Comput. Trends Technol. 11(6):244–249
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