Intro
Foreword
Preface
Acknowledgment
Contents
About the Editors
General Approaches to Assessing Electrical Load of Agro-industrial Complex Facilities When Justifying the Parameters of the Photovoltaic Power System
1 Introduction
2 Materials and Methods
3 Results and Discussion
3.1 Construction of Annual and Daily Charts of Electric Loads by the Calculation Method
3.2 Construction of Annual and Daily Schedules of Electrical Loads According to the Guidelines

3.3 Construction of Annual and Daily Schedules of Electrical Loads by Monitoring the Actual Consumed Electricity
3.4 Analysis of Operation Modes of Photovoltaic Modules Considering Load Graph of the Consumer
4 Conclusions
References
RBFNN for MPPT Controller in Wind Energy Harvesting System
1 Introduction
2 Wind Energy Harvesting System
2.1 Model of Wind Turbine
2.2 Modeling of the PMSG
3 Proposed Control Strategies
3.1 Radial Basis Function (RBF)
4 Simulation Results and Discussion
5 Conclusion
References

Simulation Optimum Performance All-Wheels Plug-In Hybrid Electric Vehicle
1 Introduction
2 Plug-In Hybrid Electric Vehicle Components
3 Plug-In Hybrid Electric Control Methodology
3.1 EV Mode
3.2 Series Mode
3.3 Parallel Mode
3.4 Recuperation Brake Energy Mode
3.5 Motor Start/Stop Automatic (MSA) Mode
3.6 Freewheeling Mode
3.7 Mechanical Braking Mode
4 AWD-PHEV Plant Model
5 Application
5.1 Simulation Results
6 Conclusions
References
Artificial Intelligence Application to Flexibility Provision in Energy Management System: A Survey
1 Introduction

2 Conventional Approach to Flexibility Management
2.1 Demand-Side (Load) Management
2.2 Energy Storage Systems (ESSs)
2.3 Electric Vehicles: V2G and G2V Technologies
2.4 Grid Reinforcement
3 Review of Artificial Intelligence and Its Application to Flexibility Management in Energy System
4 Planning Integrated Flexibility Management with Artificial Intelligence
5 Conclusions
References
Machine Learning Applications for Renewable Energy Systems
1 Introduction
2 Related Work
3 Key Applications
3.1 Forecasting
3.1.1 Weather Forecasting

3.1.2 Wind and Solar Power Production Forecasting
3.1.3 Load Forecasting
3.2 Integrating AI with Smart Grids
3.2.1 Applications of AI in Smart Grids
3.3 Condition Monitoring and Fault Prognostics of Renewable Energy Systems
3.3.1 Hydropower Projects
3.3.2 Wind Power Projects
3.3.3 Solar Power Projects
4 Resources (ML Algorithms and Datasets)
4.1 AI/ML Algorithms
4.1.1 Fuzzy Logic
4.1.2 Hidden Markov Models (HMMs)
4.1.3 Conventional ML Algorithms
4.1.4 Artificial Neural Networks (ANNs)
4.2 Datasets
4.2.1 Forecasting Energy Supply, Demand, and Weather