Research Advancements in Smart Technology, Optimization, and Renewable Energy

Description

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. 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