Applications of AI and IOT in Renewable Energy

Table of contents

1. Cover image
2. Title page
3. Table of Contents
4. Copyright
5. List of contributors
6. Chapter one. Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid
   1. Abstract
   2. 1.1 Introduction
   3. 1.2 Proposed work
   4. 1.3 Simulation results and comparison
   5. 1.4 Conclusion
   6. References
7. Chapter two. Generators’ revenue augmentation in highly penetrated renewable M2M coordinated power systems
   1. Abstract
   2. 2.1 Introduction
   3. 2.2 Problem formulation
   4. 2.3 Algorithm
   5. 2.4 Interior-point technique and KKT condition
   6. 2.5 Test results and discussion
   7. 2.6 Conclusion
   8. References
8. Chapter three. Intelligent supervisory energy-based speed control for grid-connected tidal renewable energy system for efficiency maximization
   1. Abstract
   2. 3.1 Introduction
   3. 3.2 Marine current conversion system modeling
   4. 3.3 Control of the permanent magnet synchronous generator using passivity method
   5. 3.4 Passivity-based speed controller computation
   6. 3.5 Grid-side converter control
   7. 3.6 Simulation and experimental results
   8. 3.7 Conclusion
   9. References
9. Chapter four. An intelligent energy management system of hybrid solar/wind/battery power sources integrated in smart DC microgrid for smart university
   1. Abstract
   2. 4.1 Introduction
   3. 4.2 Mathematical description of the hybrid energy system
   4. 4.3 Mathematical description of the hybrid energy system
   5. 4.4 Numerical results
   6. 4.5 Conclusion
   7. References
   8. Further reading
10. Chapter five. IoT in renewable energy generation for conservation of energy using artificial intelligence
    1. Abstract
    2. 5.1 Introduction
    3. 5.2 Related work
    4. 5.3 Proposed methodology
    5. 5.4 Deep Q-learning
    6. 5.5 Results analysis and discussion
    7. 5.6 Conclusion and future work
    8. References
11. Chapter six. Renewable energy system for industrial internet of things model using fusion-AI
    1. Abstract
    2. 6.1 Introduction
    3. 6.2 Related work
    4. 6.3 Internet of things in renewable energy sector
    5. 6.4 Proposed methodology
    6. 6.5 Renewable energy system for industrial internet of things model
    7. 6.6 Results analysis
    8. 6.7 Conclusion
    9. Reference
12. Chapter seven. Centralized intelligent fault localization approach for renewable energy-based islanded microgrid systems
    1. Abstract
    2. 7.1 Introduction
    3. 7.2 Challenges in disturbance detection
    4. 7.3 Requirements for classifier development
    5. 7.4 Centralized fault localization method
    6. 7.5 Numerical simulations
    7. 7.6 Conclusion
    8. References
13. Chapter eight. Modeling of electric vehicle charging station using solar photovoltaic system with fuzzy logic controller
    1. Abstract
    2. 8.1 Introduction
    3. 8.2 Components of charging station
    4. 8.3 Control systems strategies
    5. 8.4 Simulation and result
    6. 8.5 Conclusion
    7. References
14. Chapter nine. Weather-based solar power generation prediction and anomaly detection
    1. Abstract
    2. 9.1 Introduction
    3. 9.2 Prediction of solar power generation
    4. 9.3 Experiments and results
    5. 9.4 Conclusion and future work
    6. References
15. Chapter ten. RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network
    1. Abstract
    2. 10.1 Introduction
    3. 10.2 Literature survey
    4. 10.3 Prediction methodology
    5. 10.4 Artificial Neural Network
    6. 10.5 Data description
    7. 10.6 Key performance indicator
    8. 10.7 Results and discussion
    9. 10.8 Conclusions
    10. References
16. Chapter eleven. Study and comparative analysis of perturb and observe (P&O) and fuzzy logic based PV-MPPT algorithms
    1. Abstract
    2. 11.1 Introduction
    3. 11.2 Photovoltaic system
    4. 11.3 Maximum power point tracking system
    5. 11.4 Simulation results and discussion
    6. 11.5 Conclusion
    7. References
17. Chapter twelve. Control strategy for design and performance evaluation of hybrid renewable energy system using neural network controller
    1. Abstract
    2. 12.1 Introduction
    3. 12.2 Modeling of hybrid power system
    4. 12.3 Control strategy
    5. 12.4 Proportional-integral-derivative control and performance index
    6. 12.5 Simulation results and discussion
    7. 12.6 Conclusıons
    8. References
18. Index