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Energies2018,11, 1009 Figure3.Theseasonal tendencyofactualhalf-hourelectric load inExample1. 3HDN (QODUJHG LQ )LJ 3HDN (QODUJHG LQ )LJ 3HDN (QODUJHG LQ )LJ 3HDN (QODUJHG LQ )LJ Figure4.ForecastingvaluesofSSVRCCSmodelandotheralternativemodels forExample1. Figure5.TheenlargementcomparisonofPeak1fromthecomparedmodels forExample1. 34

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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