Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting 1st Edition by Fouzi Harrou, Ying Sun, Bilal Taghezouit ISBN 3725800677 978-3725800674

Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting 1st Edition by Fouzi Harrou, Ying Sun,  Bilal Taghezouit- Ebook PDF Instant Download/Delivery:  3725800677, 978-3725800674
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Product details: 

ISBN 10:  3725800677 

ISBN 13: 978-3725800674

Author: Fouzi Harrou, Ying Sun,  Bilal Taghezouit

Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The primary challenge in solar energy production lies in the volatility and intermittency of PV system power generation, primarily due to unpredictable weather conditions. Additionally, PV systems face continuous exposure to various faults and anomalies that can impact their productivity and profitability. This Reprint centers on artificial intelligence (AI)-driven approaches for photovoltaic energy forecasting, modeling, and monitoring. The importance of AI methods in predicting, modeling, and detecting faults in PV systems is crucial in today’s energy landscape. AI has emerged as a transformative force, addressing inherent challenges associated with solar energy production. The studies within this Reprint include empirical research across various subjects, encompassing machine learning and IoT for PV monitoring. The Reprint explores the effects of shading and dust on PV systems and presents AI-driven solutions. It also delves into PV modeling, optimization, and innovative strategies to enhance accuracy. In summary, this Reprint offers a concise yet comprehensive exploration of AI applications in solar energy, catering to researchers, practitioners, and educators in the field.

Table of contents: 

1 Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting
2 Ensemble Learning Techniques-Based Monitoring Charts for Fault Detection in Photovoltaic Systems
3 IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region
4 Photovoltaic Energy Forecast Using Weather Data through a Hybrid Model of Recurrent and Shallow Neural Networks
5 Exploring the PV Power Forecasting at Building Facades Using Gradient Boosting Methods
6 Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting
7 Revolutionizing Photovoltaic Systems: An Innovative Approach to Maximum Power Point Tracking Using Enhanced Dandelion Optimizer in Partial Shading Conditions
8 A Sensorless Intelligent System to Detect Dust on PV Panels for Optimized Cleaning Units
9 Approximating Shading Ratio Using the Total-Sky Imaging System: An Application for Photovoltaic Systems
10 Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I-V Characteristics
11 A Horse Herd Optimization Algorithm (HOA)-Based MPPT Technique under Partial and Complex Partial Shading Conditions

12 Chao-Ming Huang, Shin-Ju Chen and Sung-Pei Yang
A Parameter Estimation Method for a Photovoltaic Power Generation System Based on a Two-Diode Model

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Fouzi Harrou, Ying Sun, Bilal Taghezouit