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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
Titel
Short-Term Load Forecasting by Artificial Intelligent Technologies
Autoren
Wei-Chiang Hong
Ming-Wei Li
Guo-Feng Fan
Herausgeber
MDPI
Ort
Basel
Datum
2019
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-583-0
Abmessungen
17.0 x 24.4 cm
Seiten
448
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
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Short-Term Load Forecasting by Artificial Intelligent Technologies