Intelligent Automation in Renewable Energy
Baydyk, Tetyana.
Intelligent Automation in Renewable Energy [electronic resource] / by Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II. - 1st ed. 2019. - XII, 285 p. 232 illus., 101 illus. in color. online resource. - Computational Intelligence Methods and Applications, 2510-1773 . - Computational Intelligence Methods and Applications, .
Introduction to Renewable Energy -- Solar Concentrators -- Green Building Energy Supply -- Heat Engines -- Automating Solar Concentrator Manufacture -- Intelligent Systems for Manufacture and Control -- Examples of Neural Network Classifiers.
After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.
9783030022365
10.1007/978-3-030-02236-5 doi
Artificial intelligence.
Computational intelligence.
Renewable energy sources.
Artificial Intelligence.
Computational Intelligence.
Renewable Energy.
Q334-342 TA347.A78
006.3
Intelligent Automation in Renewable Energy [electronic resource] / by Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II. - 1st ed. 2019. - XII, 285 p. 232 illus., 101 illus. in color. online resource. - Computational Intelligence Methods and Applications, 2510-1773 . - Computational Intelligence Methods and Applications, .
Introduction to Renewable Energy -- Solar Concentrators -- Green Building Energy Supply -- Heat Engines -- Automating Solar Concentrator Manufacture -- Intelligent Systems for Manufacture and Control -- Examples of Neural Network Classifiers.
After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.
9783030022365
10.1007/978-3-030-02236-5 doi
Artificial intelligence.
Computational intelligence.
Renewable energy sources.
Artificial Intelligence.
Computational Intelligence.
Renewable Energy.
Q334-342 TA347.A78
006.3