| Description |
1 online resource : illustrations (chiefly color) |
| Series |
Lecture notes in networks and systems, 2367-3389 ; volume 361 |
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Lecture notes in networks and systems ; v. 361. 2367-3389
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| Contents |
Intro -- Contents -- Smart Energy Efficiency -- For a Smarter and More Sustainable City: Tipasa with Its Potentialities -- 1 Introduction -- 2 Methodology -- 3 Results and Discussions -- 4 Conclusion -- References -- Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart House -- 1 Introduction -- 2 Related Work -- 3 The Problem Modeling -- 4 The Proposed Solution Modeling -- 5 Simulation and Results -- 6 Conclusion -- References -- Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria -- 1 Introduction |
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2 Hybrid System Components Modelling -- 2.1 Solar PV -- 2.2 Wind Turbine -- 2.3 Storage Battery -- 2.4 Diesel Generator -- 2.5 DC/AC Converter -- 3 Problem Formulation -- 3.1 Particle Swarm Optimization -- 3.2 Objective Function and Constraints -- 3.3 Constraints -- 4 Results and Discussion -- 4.1 System Data -- 4.2 Analysis -- 5 Conclusion -- References -- Prediction and Characterization of Cooling Load Energy Performance of Residential Building Machine Learning Algorithms -- 1 Introduction -- 2 Methodology -- 3 Simulation Results and Discussion -- 4 Conclusion -- References |
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Prediction and Characterization of Heating Load Energy Performance of Residential Building Machine Learning Algorithms -- 1 Introduction -- 2 Methodology -- 3 Simulation Results and Discussion -- 4 Conclusion -- References -- MPPT Based On Grey Wolf Optimization -- 1 Introduction -- 2 PV Module -- 3 Direct Torque Control DTC -- 3.1 The Definition of Primary Voltage Vectors -- 3.2 The Definition of Stator Flux Band Electromagnetic Torque -- 4 MPPT By GWO -- 5 Tuning PI Gains By Grey Wolf Otimizatiom -- 6 Simulation Results -- 7 Conclusion -- References |
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Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizer Algorithm -- 1 Introduction -- 2 Formulation of the Optimal Power Flow Problem -- 2.1 Objective Functions -- 2.2 Constraints -- 3 Moth-Flame Optimization Algorithm MFO -- 3.1 Creating the Initial Population of Moths -- 3.2 Updating the Moths' Positions -- 3.3 Termination Criteria -- 4 Analysis of the Algerian Electrical Transport Network -- 4.1 Power Flow Results -- 4.2 Optimization Results -- 5 Conclusion -- References |
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Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode Control Equipped with Doubly Fed Induction Generator -- 1 Introduction -- 2 WECS Modeling -- 2.1 Wind Turbine Model -- 2.2 DFIG Model -- 2.3 Field Oriented Control of DFIG -- 3 Proposed Control Strategy Consept -- 4 Wind Turbine STSMC -- 5 DFIG STSMC -- 5.1 Active Stator Power Control -- 5.2 Reactive Stator Power Control -- 6 Overview of PSO Algorithm -- 7 Optimization Problem Selection -- 8 Simulation Results -- 9 Conclusion -- References |
| Summary |
This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations--mainly ICT--the concept of "Smart City" appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility |
| Notes |
Proceedings of the 5th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2021 |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed December 7, 2021) |
| Subject |
Smart cities -- Algeria -- Tipaza -- Congresses
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Artificial intelligence -- Engineering applications -- Congresses
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Renewable energy sources -- Congresses
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Artificial intelligence -- Engineering applications
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Renewable energy sources
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Smart cities
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Algeria -- Tipaza
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Hatti, Mustapha, editor
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| ISBN |
9783030920388 |
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3030920380 |
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