As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be refined, its applications broaden and increase in their potential to revolutionize sustainability studies. This potential can only be fully realized with a thorough understanding of the most recent breakthroughs in the field.
Research Advancements in Smart Technology, Optimization, and Renewable Energy is a collection of innovative research that explores the recent steps forward for smart applications in sustainability. Featuring coverage on a wide range of topics including energy assessment, neural fuzzy control, and biogeography, this book is ideally designed for advocates, policymakers, engineers, software developers, academicians, researchers, and students.
Author(s): Pandian Vasant, Gerhard Weber, Wonsiri Punurai
Series: Advances in Computer and Electrical Engineering
Publisher: Engineering Science Reference
Year: 2020
Language: English
Pages: 440
City: Hershey
Cover
Title Page
Copyright Page
Book Series
Editorial Advisory Board
Table of Contents
Detailed Table of Contents
Foreword
Preface
Acknowledgment
Chapter 1: Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor
Chapter 2: Enhancing User Experience in Public Spaces by Measuring Passengers' Flow and Perception Through ICT
Chapter 3: Improving the Optimality Verification and the Parallel Processing of the General Knapsack Linear Integer Problem
Chapter 4: New Direction to the Scheduling Problem
Chapter 5: Use of the Neural Network Controller of Sprung Mass to Reduce Vibrations From Road Irregularities
Chapter 6: The Traveling Salesman Problem
Chapter 7: Optimal Sizing of Hybrid Wind and Solar Renewable Energy System
Chapter 8: Prospects for Energy Supply of the Arctic Zone Objects of Russia Using Frost-Resistant Solar Modules
Chapter 9: Development of Self-Organized Group Method of Data Handling (GMDH) Algorithm to Increase Permeate Flux (%) of Helical-Shaped Membrane
Chapter 10: Transmission Risk Optimization in Interconnected Systems
Chapter 11: Hybrid Neural Networks for Renewable Energy Forecasting
Chapter 12: Multi-Fuel Power Dispatch Considering Prohibited Operating Zones and Tie-Line Flow Limits Using Ant Lion Optimizer
Chapter 13: Oppositional Differential Search Algorithm for the Optimal Tuning of Both Single Input and Dual Input Power System Stabilizer
Chapter 14: Extreme Value Metaheuristics and Coupled Mapped Lattice Approaches for Gas Turbine-Absorption Chiller Optimization
Chapter 15: Visual Analytics to Build a Machine Learning Model
Chapter 16: Smart Connected Digital Products and IoT Platform With the Digital Twin
Chapter 17: Taxonomy of Influence Maximization Techniques in Unknown Social Networks
Compilation of References
About the Contributors
Index
