Prediction of electrical energy consumption based on machine learning technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
http://link.springer.com/content/pdf/10.1007/s00202-020-01126-z.pdf
Reference50 articles.
1. Su Y-W (2019) Residential electricity demand in Taiwan: consumption behavior and rebound effect. Energy Policy 124:36–45
2. Shahbaz M, Sarwar S, Chen W, Malik MN (2017) Dynamics of electricity consumption, oil price and economic growth: global perspective. Energy Policy 108:256–270
3. Chen H-Y, Lee C-H (2019) Electricity consumption prediction for buildings using multiple adaptive network-based fuzzy inference system models and gray relational analysis. Energy Rep 5:1509–1524
4. Kulkarni S, Simon SP, Sundareswaran K (2013) A spiking neural network (SNN) forecast engine for short-term electrical load forecasting. Appl Soft Comput 13(8):3628–3635
5. Tiana Y, Yu J, Zhao A (2020) Predictive model of energy consumption for office building by using improved GWO-BP. Energy Rep 6:620–627
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