Medium Term Electricity Load Forecasting Using Machine Learning Techniques
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-69418-0_5
Reference16 articles.
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2. Wang, J., Li, L.: An annual load forecasting model based on support vector regression with differential evolution algorithm. Appl. Energy 94, 65–70 (2012). https://doi.org/10.1016/j.apenergy.2012.01.010
3. Ghiassi, M., Zimbra, D.K., Saidane, H.: Medium term system load forecasting with a dynamic artificial neural network model. Electr. Power Syst. Res. 76(5), 302–316 (2006). https://doi.org/10.1016/j.epsr.2005.06.010
4. Han, L., Peng, Y., Li, Y., Yong, B., Zhou, Q., Shu, L.: Enhanced deep networks for short-term and medium-term load forecasting. IEEE Access 7, 4045–4055 (2019). https://doi.org/10.1109/ACCESS.2018.2888978
5. Bouktif, S., Fiaz, A., Ouni, A., Serhani, M.A.: Single and multi-sequence deep learning models for short and medium term electric load forecasting. Energies 12(1), (2019). https://doi.org/10.3390/en12010149
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