RFM user value tags and XGBoost algorithm for analyzing electricity customer demand data
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Publisher
Elsevier BV
Reference22 articles.
1. Data completion for power load analysis considering the low-rank property;Zhuang;CSEE J. Power Energy Syst.,2022
2. Evaluasi Kinerja PLTMH Polohungo 40 KW Terhadap Small Scale Power Load (SSPL);Humena;Jurnal Teknik,2021
3. Design of LERP-Based IT2TSK fuzzy prediction system with 2nd order trend difference and its application to electric power load forecasting;Bang;Trans. Korean Inst. Electr. Eng.,2020
4. Forecasting electricity demand in households using MOGA-designed artificial neural networks;Bot;IFAC-PapersOnLine,2020
5. Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application;Li;Neural Comput. Appl.,2021
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