AI System for Short Term Prediction of Hourly Electricity Demand
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50485-3_29
Reference19 articles.
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3. Dombi G., Dulai, T.: Hourly electricity price forecast for short-and long-term, using deep neural networks. Acta Universita Sapientiae Informatica 14(2), 208–222 (2022). https://doi.org/10.2478/ausi-2022-0013
4. Gabrielli, P., Wüthrich, M., Blume, S., Giovanni, S.: Data-driven modeling for long-term electricity price forecasting. Energy 244 (2022). https://doi.org/10.1016/j.energy.2022.123107
5. Hagfors, L.I., Bunn, D., Kristoffersen, E., Staver, T.T., Westgaard, S.: Modeling the UK electricity price distributions using quantile regression. Energy 102, 231–243 (2016)
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