001453857 000__ 03950cam\a2200565\i\4500
001453857 001__ 1453857
001453857 003__ OCoLC
001453857 005__ 20230314003448.0
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001453857 008__ 230112s2023\\\\sz\a\\\\ob\\\\001\0\eng\d
001453857 019__ $$a1358081804
001453857 020__ $$a9783030828486$$q(electronic bk.)
001453857 020__ $$a3030828484$$q(electronic bk.)
001453857 020__ $$z9783030828479
001453857 020__ $$z3030828476
001453857 0247_ $$a10.1007/978-3-030-82848-6$$2doi
001453857 035__ $$aSP(OCoLC)1358405785
001453857 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001453857 049__ $$aISEA
001453857 050_4 $$aTK3070
001453857 08204 $$a621.31/26$$223/eng/20230112
001453857 1001_ $$aHolderbaum, William,$$eauthor.
001453857 24510 $$aEnergy forecasting and control methods for energy storage systems in distribution networks :$$bpredictive modelling and control techniques /$$cWilliam Holderbaum, Feras Alasali, Ayush Sinha.
001453857 264_1 $$aCham :$$bSpringer,$$c[2023]
001453857 264_4 $$c©2023
001453857 300__ $$a1 online resource (xvi, 204 pages) :$$billustrations (chiefly color).
001453857 336__ $$atext$$btxt$$2rdacontent
001453857 337__ $$acomputer$$bc$$2rdamedia
001453857 338__ $$aonline resource$$bcr$$2rdacarrier
001453857 4901_ $$aLecture notes in energy,$$x2195-1292 ;$$vvolume 85
001453857 504__ $$aIncludes bibliographical references and index.
001453857 5050_ $$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.
001453857 506__ $$aAccess limited to authorized users.
001453857 520__ $$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 more informed 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.
001453857 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 12, 2023).
001453857 650_0 $$aElectric power distribution$$xAutomatic control.
001453857 650_0 $$aEnergy storage$$xAutomatic control.
001453857 650_0 $$aPredictive control.
001453857 655_0 $$aElectronic books.
001453857 7001_ $$aAlasali, Feras,$$eauthor.
001453857 7001_ $$aSinha, Ayush,$$eauthor.
001453857 77608 $$iPrint version: $$z3030828476$$z9783030828479$$w(OCoLC)1258782417
001453857 830_0 $$aLecture notes in energy ;$$v85.$$x2195-1292
001453857 852__ $$bebk
001453857 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82848-6$$zOnline Access$$91397441.1
001453857 909CO $$ooai:library.usi.edu:1453857$$pGLOBAL_SET
001453857 980__ $$aBIB
001453857 980__ $$aEBOOK
001453857 982__ $$aEbook
001453857 983__ $$aOnline
001453857 994__ $$a92$$bISE