Harnessing AI for Solar Radiation Forecasting: Innovations and Applications

  • الفئة :

      كتب علمية

  • الإسم الكامل للمؤلف (ين):

      Dr. DAHMANI Abdennasser, Dr. KOUIDRI Ikram

  • الرقم الدولي المعياري للكتاب (ISBN) :

      978-9969-05-263-3

  • عدد الصفحات :

      120

  • الميدان :

      علوم وتكنولوجيا


: ملخص

The book, titled "Harnessing AI for Solar Radiation Forecasting: Innovations and Applications", explores how artificial intelligence (AI), particularly neural networks and machine learning techniques, can be applied to improve solar radiation forecasting. It begins by covering the fundamentals of solar radiation and measurement techniques, both ground-based and satellite-based. The book then delves into how AI can enhance the accuracy of predictions, with a focus on regions like Algeria, which have significant potential for solar energy. Case studies illustrate the use of neural networks to analyze solar radiation data and evaluate model performance. The overarching goal is to support the transition to renewable energy by making solar systems more efficient and reliable


الفهرس :

Chapter 1: Fundamentals of Solar Radiation
Chapter 2: Artificial Intelligence: A Powerful Tool for Forecasting
Chapter 03: Neural Networks for Predicting Solar Radiation in West Algeria
Chapter 4: Hourly GHI Prediction in Tamanrasset with Bootstrap Neural Networks
Chapter 5: Bootstrapped SVMs for Hourly Global Solar Radiation Prediction

image