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Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Case Study: Tipasa, Algeria

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Mustapha Hatti

    1. EPST-CDER, Unité de Développement des Equipements Solaires, Bou Ismail, Tipasa, Algeria

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  • Includes recent research on artificial intelligence in renewable energetic systems
  • Features the proceedings of the 5th International Conference on Artificial Intelligence in Renewable Energetic Systems
  • Proposes the development of new technological innovations

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 361)

Included in the following conference series:

Conference proceedings info: IC-AIRES 2021.

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Table of contents (94 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Smart Energy Efficiency

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. For a Smarter and More Sustainable City: Tipasa with Its Potentialities

      • Ouahiba Tizouiar, Aicha Boussoualim
      Pages 3-11

    3. Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart House

      • Samia Chibani Sadouki, Souhila Ait Hacene Ouhadda
      Pages 12-20

    4. Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria

      • Hadda Zereg, Hassen Bouzgou
      Pages 21-33

    5. Prediction and Characterization of Cooling Load Energy Performance of Residential Building Machine Learning Algorithms

      • Aissa Boudjella, Manal Y. Boudjella, Samir Brahim Belhouari
      Pages 34-45

    6. Prediction and Characterization of Heating Load Energy Performance of Residential Building Machine Learning Algorithms

      • Aissa Boudjella, Manal Y. Boudjella, Mohamed E. Bellebna, Nasreddine Aoumeur, Samir Belhouari
      Pages 46-56

    7. MPPT Based On Grey Wolf Optimization

      • Fethia Hamidia, Amel Abbadi
      Pages 57-65

    8. Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizer Algorithm

      • Djeblahi Zahia, Mahdad Belkacem
      Pages 66-77

    9. Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode Control Equipped with Doubly Fed Induction Generator

      • H. Gasmi, S. Mendaci, W. Kantas
      Pages 78-87

    10. Optimization of Distributed Mean-Level CFAR Detectors Using GA and PSO Algorithms

      • Mohamed Abdou Bouteldja, Mohamed Baadeche, Faouzi Soltani
      Pages 88-99

    11. Optimal Sizing Design of stand- Alone Hybrid System Using a Fuzzy PSO

      • W. Nemouchi, Y. Amrane, H. Nemouchi
      Pages 100-110

    12. Optimal Location and Size of Shunt Capacitor in Distribution Using Metaheuristic Method

      • M. Mosbah, A. Khattara, R. Zine, M. Ould-Sidi, S. Hamid-Oudjana, Y. Soufi
      Pages 111-120

    13. Maximum Power Point Tracking of a Photovoltaic System Under Partial Shading Condition Using Whale Optimization Algorithm

      • D. E. Zabia, H. Afghoul, O. Kraa
      Pages 121-132

    14. A Powerful Bio-Inspired Fire Fly Algorithm Based MPPT Controller for PV Systems Under Partial Shading Conditions

      • Sabrina Titri, Cherif Larbes, Hadjer Azli, Faycal Benkhira, Narimane Djemai
      Pages 133-143

    15. An Efficient Salp Swarm Algorithm for a PV Global Maximum Power Point Tracking Under Partial Shading

      • B. K. Oubbati, M. Boutoubat, A. Rabhi, M. Belkheiri
      Pages 144-154

    16. Maximum Power Point Tracking Under Fast Changing Irradiance Using Hybrid Fuzzy-PO Algorithm

      • Rachid Bennia, Cherif Larbes, Faiza Belhachat
      Pages 155-166

    17. Assessment of Global Solar Energy Under All-Sky Condition Using Artificial Neural Network

      • D. Benatiallah, K. Bouchouicha, A. Benatiallah, A. Harouz, B. Nasri
      Pages 167-174

    18. Optimal Wind Turbine Site for Voltage Stability Improvement Using Genetic Algorithm Technique

      • A. Khattara, M. Mosbah, R. Zine, M. Ould-Sidi, S. Hamid-Oudjana, Y. Soufi
      Pages 175-182

    19. An Improved Energy Management System for Fuel Cell/ Ultra-capacitor Electric Vehicle Based Fuzzy Logic Control

      • A. Hamlat, M. Sekkour, M. Mankour, M. Khalfaoui
      Pages 183-189
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  1. Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

Keywords

About this book

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, andstudents. 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.

Editors and Affiliations

  • EPST-CDER, Unité de Développement des Equipements Solaires, Bou Ismail, Tipasa, Algeria

    Mustapha Hatti

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