LEADER 03035nam 2200445 450 001 9910717408703321 005 20230530063547.0 010 $a3-031-27852-6 035 $a(CKB)5720000000183553 035 $a(NjHacI)995720000000183553 035 $a(MiAaPQ)EBC7243499 035 $a(Au-PeEL)EBL7243499 035 $a(OCoLC)1378166136 035 $a(PPN)269660879 035 $a(EXLCZ)995720000000183553 100 $a20230530d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCore Concepts and Methods in Load Forecasting $eWith Applications in Distribution Networks /$fStephen Haben, Marcus Voss, William Holderbaum 205 $a1st ed. 210 1$aCham :$cSpringer International Publishing,$d2023. 215 $a1 online resource (xv, 331 pages) 311 $a3-031-27851-8 327 $aChapter 1. Introduction -- Chapter 2. Primer on Distribution Electricity Networks -- Chapter 3. Primer on Statistics and Probability -- Chapter 4. Primer on Machine Learning -- Chapter 5. Time Series Forecasting: Core Concepts and Definitions -- Chapter 6. Load Data: Preparation, Analysis and Feature Generation -- Chapter 7. Verification and Evaluation of Load Forecast Models -- Chapter 8. Load Forecasting Model Training and Selection -- Chapter 9. Benchmark and Statistical Point Forecast Methods -- Chapter 10. Machine Learning Point Forecasts Methods -- Chapter 11. Probabilistic Forecast Methods -- Chapter 12. Load Forecast Process -- Chapter 13. Advanced and Additional Topics -- Chapter 14. Case Study: Low Voltage Demand Forecasts -- Chapter 15. Selected Applications and Examples -- Appendix. 330 $aThis comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks. From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital. This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization. 606 $aElectric power distribution 615 0$aElectric power distribution. 676 $a621.319 700 $aHaben$b Stephen$01359784 702 $aHolderbaum$b William 702 $aVoss$b Marcus 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910717408703321 996 $aCore Concepts and Methods in Load Forecasting$93374597 997 $aUNINA LEADER 01731nas 2200505 n 450 001 9910393559903321 005 20231011214332.0 011 $a2058-1076 035 $a(CKB)954925472366 035 $a(CONSER) 80647585 035 $a(DE-599)ZDB2486849-8 035 $a(EXLCZ)99954925472366 100 $a20791127b19792001 uy a 101 0 $aeng 200 00$aThird world planning review 210 $aLiverpool [Eng.]$cLiverpool University Press 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 08$aPrint version: Third world planning review. (DLC) 80647585 (OCoLC)5733646 0142-7849 517 1 $aTWPR 531 $aTHIRD WORLD PLANN REV 531 $aTHIRD WORLD PLAN REV 531 0 $aThird world plann. rev. 606 $aCity planning$zDeveloping countries$vPeriodicals 606 $aRegional planning$zDeveloping countries$vPeriodicals 606 $aVilles$xAme?nagement et assainissement$zPays en voie de de?veloppement$vPe?riodiques 606 $aAme?nagement du territoire$zPays en voie de de?veloppement$vPe?riodiques 606 $aPlanning$2gtt 606 $aDEVELOPING COUNTRIES$2unbist 606 $aDEVELOPMENT PLANNING$2unbist 606 $aHUMAN SETTLEMENTS$2unbist 615 0$aCity planning 615 0$aRegional planning 615 6$aVilles$xAme?nagement et assainissement 615 6$aAme?nagement du territoire 615 17$aPlanning. 615 07$aDEVELOPING COUNTRIES. 615 07$aDEVELOPMENT PLANNING. 615 07$aHUMAN SETTLEMENTS. 676 $a361.6/09172/4 906 $aJOURNAL 912 $a9910393559903321 920 $aexl_impl conversion 996 $aThird world planning review$91322541 997 $aUNINA