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Smart Energy Empowerment in Smart and Resilient Cities Renewable Energy for Smart and Sustainable Cities

By: Material type: TextTextPublication details: Cham Springer International Publishing 2020Description: 703 pageISBN:
  • 9783030372064
Subject(s): LOC classification:
  • TK3105 b| .S637  2020
Contents:
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 & 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
List(s) this item appears in: sustainability (update2023)
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Holdings
Item type Current library Shelving location Call number Status Date due Barcode Item holds
General Book General Book Kuakarun Nursing Library Processing unit TK3105 S637 2020 (Browse shelf(Opens below)) Available 0000046571
Total holds: 0

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 & 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

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