Soft Computing in Green and Renewable Energy Systems

• Corporate Author: SpringerLink (Online service)
• Other Authors: Gopalakrishnan, Kasthurirangan (Editor), Khaitan, Siddhartha Kumar (Editor), Kalogirou, Soteris (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Fuzziness and Soft Computing, 269
• Subjects: Engineering.; Renewable energy resources.; Artificial intelligence.; Computational intelligence.; Renewable energy sources.; Alternate energy sources.; Green energy industries.; Environmental engineering.; Biotechnology.; Computational Intelligence.; Renewable and Green Energy.; Artificial Intelligence (incl. Robotics).; Environmental Engineering/Biotechnology.

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Re...

Table of Contents:

• From the content: Soft Computing Applications in Thermal Energy Systems
• Use of Soft Computing Techniques in Renewable Energy Hydrogen Hybrid Systems
• Soft Computing in Absorption Cooling Systems
• A Comprehensive Overview of Short Term Wind Forecasting Models based on Time Series Analysis
• Load Flow with Uncertain Loading and Generation in Future Smart Grids.