LEADER 00799nam0-22002771i-450- 001 990005284680403321 005 20060613150510.0 035 $a000528468 035 $aFED01000528468 035 $a(Aleph)000528468FED01 035 $a000528468 100 $a19990604d1973----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $a<>utopia di papa Giovanni$fGiancarlo Zizola 210 $aAssisi$cCittadella Editrice$d(stampa 1973) 215 $a491 p.$d21 cm 676 $a282.092$v21$zita 700 1$aZizola,$bGiancarlo$f<1936-2011>$034820 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005284680403321 952 $a282.092 GIOVANNI XXIII 8$bST.REL. 320$fFLFBC 959 $aFLFBC 996 $aUtopia di papa Giovanni$9537951 997 $aUNINA LEADER 04324nam 22006855 450 001 9910640389803321 005 20250723051721.0 010 $a3-030-82848-4 024 7 $a10.1007/978-3-030-82848-6 035 $a(MiAaPQ)EBC7173149 035 $a(Au-PeEL)EBL7173149 035 $a(CKB)25994568600041 035 $a(DE-He213)978-3-030-82848-6 035 $a(PPN)267808771 035 $a(EXLCZ)9925994568600041 100 $a20230107d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks $ePredictive Modelling and Control Techniques /$fby William Holderbaum, Feras Alasali, Ayush Sinha 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (218 pages) 225 1 $aLecture Notes in Energy,$x2195-1292 ;$v85 311 08$aPrint version: Holderbaum, William Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks Cham : Springer International Publishing AG,c2023 9783030828479 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Basic tools -- Short term load forecasting -- Control strategies in low voltage network for energy saving -- Optimal control with load forecasting -- Case study: Energy saving based on optimal control and load forecasts -- Conclusion. 330 $aThis book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions. The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions. Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage. This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal. 410 0$aLecture Notes in Energy,$x2195-1292 ;$v85 606 $aEnergy storage 606 $aElectric power distribution 606 $aAutomatic control 606 $aEnergy policy 606 $aEnergy policy 606 $aMechanical and Thermal Energy Storage 606 $aEnergy Grids and Networks 606 $aControl and Systems Theory 606 $aEnergy Policy, Economics and Management 615 0$aEnergy storage. 615 0$aElectric power distribution. 615 0$aAutomatic control. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 14$aMechanical and Thermal Energy Storage. 615 24$aEnergy Grids and Networks. 615 24$aControl and Systems Theory. 615 24$aEnergy Policy, Economics and Management. 676 $a621.319 700 $aHolderbaum$b William$01353334 702 $aAlasali$b Feras 702 $aSinha$b Ayush 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910640389803321 996 $aEnergy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks$93251570 997 $aUNINA