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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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch. Seller Inventory # 9786203926637
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ganthia Bibhu PrasadBibhu Prasad Ganthia, Assistant Professor, Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha Dr. S.Kaliappan, Assistant Professor, Grade II, EEE Department, Kumaraguru College of Technology, Tamilnadu . Seller Inventory # 490936216
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9786203926637
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786203926637
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. LOAD FORECASTING FOR SMART GRID USING MATLAB | Analysis & Case Studies | Bibhu Prasad Ganthia (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203926637 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 120393143