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  <titleInfo>
    <title>Smart Energy Empowerment in Smart and Resilient Cities</title>
    <subTitle>Renewable Energy for Smart and Sustainable Cities</subTitle>
  </titleInfo>
  <name type="conference">
    <namePart>Mustapha Hatti (editor)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
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    <place>
      <placeTerm type="text">Cham</placeTerm>
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    <publisher>Springer International Publishing</publisher>
    <dateIssued>2020</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>703 page</extent>
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  <tableOfContents>Intro -- Contents -- Particle Swarm Optimization and Artificial Neural Network -- Frequency Control in Microgrid Power System with Renewable Power Generation Using PID Controller Based on Particle Swarm Optimization -- Abstract -- 1 Introduction -- 2 Configurations of Microgrid Power System -- 3 Controller Design and Optimization Technique -- 3.1 PID Controller -- 3.2 Interview on PSO algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- Five PV Model Parameters Determination Through PSO and Genetic Algorithm, a Comparative Study -- Abstract -- 1 Introduction
2 The Five Parameters PV Cell/Module Modeling -- 3 PV Module Parameters Extraction Based on GA &amp; PSO Algorithms -- 3.1 Genetic Algorithm (GA) -- 3.2 Particle Swarm Optimization (PSO) -- 4 Results and Discussions -- 5 Conclusion -- References -- Maximum Power Point Tracking Based on the Bio Inspired BAT Algorithm -- Abstract -- 1 Introduction -- 2 System Overview -- 3 Bat Swarm Optimization Algorithm -- 3.1 Bat Swarm Optimization Basic Concepts -- 3.2 The Proposed Bat Swarm Optimization MPPT Implementation -- 4 Simulation Results -- 5 Conclusion -- References
New Design of an Optimized Synergetic Control by Hybrid BFO-PSO for PMSG Integrated in Wind Energy Conversion System Using Variable Step HCS Fuzzy MPPT -- Abstract -- 1 Introduction -- 2 Mathematical Model of PMSG -- 3 Synergetic Control -- 3.1 Synergetic Control on PMSG -- 4 Proposed Hybrid BFO-PSO Algorithm -- 5 Maximum Power Point Tracking MPPT -- 5.1 Proposed HTC Fuzzy-Based MPPT -- 6 Simulation Results and Discussion -- 6.1 Simulation of Synergetic Control of PMSM Optimized by BFO-PSO -- 6.2 Integration the System in Wind Energy System with HLC Fuzzy-Based MPPT -- 7 Conclusion -- References
ANFIS Technique to Estimate Daily Global Solar Radiation by Day in Southern Algeria -- Abstract -- 1 Introduction -- 2 Data and Methodology -- 2.1 Study Area -- 2.2 Aadaptive Neuro-Fuzzy Inference System (ANFIS) -- 2.3 Statistical Error Analysis of Model ANFIS -- 3 Results and Discussion -- 4 Conclusions -- References -- Impact of Artificial Intelligence Using Multilevel Inverters for the Evolution the Performance of Induction Machine -- Abstract -- 1 Introduction -- 2 Mathematical Model of the Induction Machine -- 3 Clamped Multilevel Inverter
4 Control Techniques of Multi-level Inverter (SPWM) -- 5 Indirect Field-Oriented Control Induction Machine -- 6 PI Controller Design for Speed of an Induction Machine -- 7 Fuzzy Logic Controller -- 8 Simulation Results -- 9 Comparison Between Different Inverters -- 10 Conclusion -- References -- Machine Learning Techniques for Road Traffic Automatic Incident Detection Systems: A Review -- Abstract -- 1 Introduction -- 2 Machine Learning Techniques for Road Traffic Incident Detection Systems -- 3 Synthesis and Discussion -- 4 Proposal Framework -- 5 Conclusion and Future Works -- References</tableOfContents>
  <subject>
    <topic>Renewable energy resources</topic>
  </subject>
  <subject>
    <topic>Computational intelligence</topic>
  </subject>
  <subject>
    <topic>Transportation engineering</topic>
  </subject>
  <subject>
    <topic>Traffic engineering</topic>
  </subject>
  <subject>
    <topic>Transportation</topic>
  </subject>
  <subject>
    <topic>Renewable and Green Energy</topic>
  </subject>
  <classification authority="lcc">TK3105 b| .S637  2020</classification>
  <identifier type="isbn">9783030372064</identifier>
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    <recordCreationDate encoding="marc">220207</recordCreationDate>
    <recordChangeDate encoding="iso8601">20220207170428.0</recordChangeDate>
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