Soft Computing Applications for Renewable Energy and Energy Efficiency, 1st Edition

  • Maria del Socorro Garcia Cascales
  • Published By:
  • ISBN-10: 1466666323
  • ISBN-13: 9781466666320
  • DDC: 621.042028
  • Grade Level Range: College Freshman - College Senior
  • 335 Pages | eBook
  • Original Copyright 2015 | Published/Released December 2015
  • This publication's content originally published in print form: 2015

  • Price:  Sign in for price

About

Overview

As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Environmental Engineering and Green Technologies (AEEGT) Book Series.
Titles in this Series.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
1: Current Status and Future Trends of the Evaluation of Solar Global Irradiation using Soft-Computing-Based Models.
2: Metaheuristics Applied to Biorefinery Supply Chain Problems: A Review of Selected Methods and Applications.
3: Design and Implementation of a Fuzzy Inference Model for Mapping the Sustainability of Energy Crops.
4: Comprehensive Methods for Dealing with Uncertainty in Assessing Sustainability Part 1: The MIVES – Monte Carlo Method.
5: Comprehensive Methods for Dealing with Uncertainty in Assessing Sustainability Part 2: The Fuzzy-MINES Method.
6: Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia.
7: Fuzzy Logic in Wind Energy.
8: Evaluation of Renewable Energy Alternatives using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP.
9: Grid Stabilization Effect of Combined Electricity Generation from Wind and Photovoltaic Systems in Murcia, Spain.
10: Modeling of Wind Speed Profile using Soft Computing Techniques.
11: Solar Power Plant Optimization.
12: Classification of Failures in Photovoltaic Systems using Data Mining Techniques.
13: Integrated Management of Energy Resources in the Residential Sector Using Evolutionary Computation: A Review.
14: Measurement of Electricity Distribution Service in India by Soft Computing Technique (ANN).
Compilation of References.
About the Contributors.
Index.