Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks: Predictive Modelling and Con
William Holderbaum, "Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks: Predictive Modelling and Con"
English | ISBN: 3030828476 | 2023 | 220 pages | PDF | 4 MB
English | ISBN: 3030828476 | 2023 | 220 pages | PDF | 4 MB
This 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.
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