Artificial Intelligence for Solar Photovoltaic Systems

2 Solar Power Forecasting

Agrim Khurana, Ankit Dabas, Vaibhav Dhand, Rahul Kumar, Bhavnesh Kumar, and Arjun Tyagi

Netaji Subhas Institute of Technology

DOI: 10.1201/9781003222286-2

CONTENTS

• 2.1 Introduction
• 2.2 Tools and Techniques for Solar Forecasting
  • 2.2.1 Tools
  • 2.2.2 Techniques for Solar Forecasting
• 2.3 Solar Spectrum
• 2.4 Solar Radiation Geometry
• 2.5 Solar Power Prediction Techniques
  • 2.5.1 Support Vector Regression (SVR)
  • 2.5.2 XG BOOST
  • 2.5.3 Random Forest
  • 2.5.4 Artificial Neural Network
  • 2.5.5 Long-Short Term Memory (LSTM) Model
• 2.6 Results and Discussion
• 2.7 Conclusion
• References

2.1 Introduction

The need for energy generation is skyrocketing with the increasing population and elevating industrial, urban, and domestic standards. ...