Machine Learning Based Electrical Load Forecasting Using Decision Tree Algorithms
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-54765-3_6
Reference20 articles.
1. Scott, D., Simpson, T., Dervilis, N., Rogers, T., Worden, K.: Machine learning for energy load forecasting. J. Phys. Conf. Ser. (2018)
2. Warrior, K.P., Shrenik, M., Soni, N.: Short-term electrical load forecasting using predictive machine learning models. In: 2016 IEEE Annual India Conference, INDICON 2016 (2017)
3. Abera, F.Z., Khedkar, V.: Machine learning approach electric appliance consumption and peak demand forecasting of residential customers using smart meter data. Wirel. Pers. Commun. (2020)
4. Madhavi, K.S.L., et al.: Advanced electricity load forecasting combining electricity and transportation network. In: 2017 North American Power Symposium, NAPS 2017 (2017)
5. Alagbe, V., Popoola, S.I., Atayero, A.A., Adebisi, B., Abolade, R.O., Misra, S.: Artificial intelligence techniques for electrical load forecasting in smart and connected communities. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)
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1. Smart Meter Based Non-intrusive Load Disaggregation and Load Monitoring;Lecture Notes in Networks and Systems;2021-11-17
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