Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization
In this revolutionary opus, Amit Kumar Yadav plunges into the forefront of cutting-edge data analytics tailored for the prognostication and forecasting of solar energy. The author adeptly navigates the realm of sophisticated neural networks, machine learning, and data analytical methodologies applied across various dimensions of solar power production, extending from resource evaluation to the fine-tuning of photovoltaic systems. Readers are invited to explore intricate strategies for selecting input variables, assessing solar resources, calculating optimal tilt angles, and scrutinizing the electrical characteristics of PV modules. Emphasizing real-world applications, this text unveils insightful perspectives on the modeling and empirical evaluation of photovoltaic energy generation under authentic conditions. This all-encompassing manual serves as a vital asset for scholars, researchers, and advanced learners in solar energy, renewable resources, electrical engineering, artificial intelligence, machine learning, and computer science. Moreover, professionals in research and development, alongside industry specialists, will find this work indispensable for grasping the latest innovations in artificial intelligence and data analytics navigated within the sphere of solar energy and renewable power infrastructures.
- Author: Amit Kumar Yadav
- Publisher: Elsevier - Health Sciences Division (1 January 2026)
- Genre: Industry-Specific Business
- ISBN: 978-0443134821
- Pages: 350 pages