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Energies2018,11, 3442 Figure4.Category-wiseElectricityConsumptionacrossvariouscountries (2015). Figure5.Category-wise%Shares inElectricityConsumptionacrossvariouscountries (2015). 3.Results 3.1. LinearRegression In order topredict the influencingvariable onTotal ElectricityConsumption (TEC) for India, Linear Regression is used initially. GDP, Population andGDPperCapita are taken as the input variableswhichareusedonebyone in linearregressiontopredictTEC. Thedistancebetweentheactualvalueandthemeaniscalculatedandalso thedistancebetween theestimated lineanditsmeaniscalculated in theregression line. Thecomparisonbetweenthe two 105
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Short-Term Load Forecasting by Artificial Intelligent Technologies
Title
Short-Term Load Forecasting by Artificial Intelligent Technologies
Authors
Wei-Chiang Hong
Ming-Wei Li
Guo-Feng Fan
Editor
MDPI
Location
Basel
Date
2019
Language
English
License
CC BY 4.0
ISBN
978-3-03897-583-0
Size
17.0 x 24.4 cm
Pages
448
Keywords
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Category
Informatik
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Short-Term Load Forecasting by Artificial Intelligent Technologies