Customers Characterization by Seasonality Detection in Residential Electricity Consumptions Data, Based on High-Day Frequency Identification
Author:
Affiliation:
1. K. N. Toosi University of Technology,Faculty of Electrical Engineering,Tehran,Iran
2. SMRL, CIPCE, School of ECE, University of Tehran,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459225/10459267/10459285.pdf?arnumber=10459285
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1. The Investigation and Simulations of the Suspension Insulator String Offset Effects on the Voltage and Electric Field Distributions Using the Finite Element Method;Khodsuz;Scientific Journal of Applied Electromagnetics 10,2022
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3. A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting
4. SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting
5. Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
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