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Modeling, Identification and Control Methods in Renewable Energy Systems (Hardcover, 1st ed. 2019)
Loot Price: R4,158
Discovery Miles 41 580
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Modeling, Identification and Control Methods in Renewable Energy Systems (Hardcover, 1st ed. 2019)
Series: Green Energy and Technology
Expected to ship within 10 - 15 working days
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Most of the research and experiments in the fields of modeling and
control systems have spent significant efforts to find rules from
various complicated phenomena by principles, observations, measured
data, logic derivations. The rules are normally summarized as
concise and quantitative expressions or "models". "Identification"
provides mechanisms to establish the models and "control" provides
mechanisms to improve system performances.This book reflects the
relevant studies and applications in the area of renewable
energies, with the latest research from interdisciplinary
theoretical studies, computational algorithm development to
exemplary applications. It discusses how modeling and control
methods such as recurrent neural network, Pitch Angle Control,
Fuzzy control, Sliding Mode Control and others are used in
renewable systems. It covers topics as photovoltaic systems, wind
turbines, maximum power point tracking, batteries for renewable
energies, solar energy, thermal energy and so on. This book is
edited and written by leading experts in the field and offers an
ideal reference guide for researchers and engineers in the fields
of electrical/electronic engineering, control system and energy.
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