Bacterial Foraging Optimization Based Least Square Support Vector Machine for Short-Term Electricity Load Forecasting
Author:
Affiliation:
1. Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia,Faculty of Electrical Technology and Engineering,Durian Tunggal,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10474595/10474607/10474629.pdf?arnumber=10474629
Reference26 articles.
1. Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting
2. Implications of COVID-19 pandemic for energy-use and energy saving household electrical appliances consumption behaviour in Malaysia
3. National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
4. A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons
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