Soft Computing in Green and Renewable Energy Systems 2011
Kasthurirangan Gopalakrishnan, Siddhartha Kumar Khaitan, Soteris A. Kalogirou (Eds.):
Soft Computing in Green and Renewable Energy Systems.
Studies in Fuzziness and Soft Computing Vol. 269 Springer 2011, ISBN 978-3-642-22175-0
- Arturo Pacheco-Vega:
Soft Computing Applications in Thermal Energy Systems.
1-35

- Gabriele Zini, Simone Pedrazzi, Paolo Tartarini:
Use of Soft Computing Techniques in Renewable Energy Hydrogen Hybrid Systems.
37-64

- Arzu Sencan Sahin, Soteris A. Kalogirou:
Soft Computing in Absorption Cooling Systems.
65-95

- Athanasios Sfetsos:
A Comprehensive Overview of Short Term Wind Forecasting Models Based on Time Series Analysis.
97-116

- Olav Krause, Sebastian Lehnhoff:
Load Flow with Uncertain Loading and Generation in Future Smart Grids.
117-156

- Ihsan Kaya, Cengiz Kahraman:
Evaluation of Green and Renewable Energy System Alternatives Using a Multiple Attribute Utility Model: The Case of Turkey.
157-182

- Alexandre Barin, Luciane N. Canha, Karine M. Magnago, Manuel A. Matos, Breno Wottrich:
A Novel Fuzzy-Based Methodology for Biogas Fuelled Hybrid Energy Systems Decision Making.
183-198

- Florencia Almonacid, Catalina Rus, Pedro Pérez-Higueras, Leocadio Hontoria:
Two New Applications of Artificial Neural Networks: Estimation of Instantaneous Performance Ratio and of the Energy Produced by PV Generators.
199-232

- Lawrence K. Letting, Josiah L. Munda, Yskandar Hamam:
Optimization of Fuzzy Logic Controller Design for Maximum Power Point Tracking in Photovoltaic Systems.
233-260

- Adel Mellit, Alessandro Massi Pavan, Soteris A. Kalogirou:
Application of Artificial Neural Networks for the Prediction of a 20-kWp Grid-Connected Photovoltaic Plant Power Output.
261-283

- Silas C. Michaelides, Filippos Tymvios, Dimitris Paronis, Adrianos Retalis:
Artificial Neural Networks for the Diagnosis and Prediction of Desert Dust Transport Episodes.
285-304

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