Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Developments in the capacity for building renewable energy generation systems has sparked a paradigm shift in the energy structure and the sustainability sector. Sustainable Developments with Artificial Intelligence and Machine Learning for Renewable Energies analyses the changes in this energy generation shift, including issues of grid stability with the variability in renewable energy verses traditional baseload energy generation. The use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, and machine learning and the capabilities to design, model, characterize and forecast performance predictions for the optimization of renewable energy systems. Providing solutions to current critical environmental, economic, and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and sustainable development.Targeted at researchers, academicians, and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems where AI integration in a real-time environment with simulation results and online map hyperlinking Gives advanced techniques for monitoring current technologies, and how to efficiently utilize the energy grid spectrum Addresses the advance field of renewable generation, from research, impact, and idea development of new applications in a single platform