LOAD FORECASTING FOR SMART GRID USING MATLAB - Ganthia, Bibhu Prasad;Kaliappan, Dr. S;Suresh, M.
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These book provide powerful tools for design, simulation, control, estimation, fault diagnostics and fault tolerant control in modern smart grids (SG) and renewable energy systems(RESs). As one of the key links to make a grid smarter, load forecast plays a significant role, the reliable prediction of load demand contributes to the efficient and economical operations and planning of the power system. The nonlinear nature of the electrical load demand confirms to the ability of the artificial neural network in calculating the nonlinear relationship of inputs and outputs. There are many ways such…mehr

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Produktbeschreibung
These book provide powerful tools for design, simulation, control, estimation, fault diagnostics and fault tolerant control in modern smart grids (SG) and renewable energy systems(RESs). As one of the key links to make a grid smarter, load forecast plays a significant role, the reliable prediction of load demand contributes to the efficient and economical operations and planning of the power system. The nonlinear nature of the electrical load demand confirms to the ability of the artificial neural network in calculating the nonlinear relationship of inputs and outputs. There are many ways such as Expert Systems, Fuzzy Logic and Artificial Neural Networks and so on are employed into load forecast. A personal computer based expert system using artificial neural network for smart grid forecast is visualized in this book. MATLAB SIMULINK is used as programming language.
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Autorenporträt
Bibhu Prasad Ganthia, working as assistant professor in the department of electrical engineering, IGIT, Sarang, Dhenkanal, Odisha, India. He has got 8 years of teaching experience with many national and international publications. He has got many awards from international and national firms for his researches in wind energy system.