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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks - Predictive Modelling and Control Techniques (Hardcover, 1st ed. 2023)
Loot Price: R4,036
Discovery Miles 40 360
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Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks - Predictive Modelling and Control Techniques (Hardcover, 1st ed. 2023)
Series: Lecture Notes in Energy, 85
Expected to ship within 10 - 15 working days
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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. 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.
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