دانلود کتاب پیشرفت‌ها در سیستم‌های انرژی هوشمند

Optimal use of sustainable energy technologies has been attracting researchers, devel-opers, industrialists, etc., in recent years due to the exponential increase in energy crisis and corresponding environmental problems linked with the burning of conven-tional sources. However, the highly variable and site-specific nature of renewable energy sources has also increased the level of uncertainty in the operation of power systems and the unpredictability of load situations. Smart computing techniques offer an effective solution for investigating and modeling the stochastic behavior of renewable energy generation, operation of grid-connected renewable energy systems, and smart decision-making among alternatives. The application of soft computing techniques to make an intelligent decision for optimum use of suitable alternatives gives an upper hand compared to conventional systems. It includes upgradation of the existing system by embedding of machine intelligence. In the recent era, the combination of use of neutral networks, fuzzy systems, and genetic algorithms are illustrated in several applications including forecasting, security, verification, diag-nostics of a specific fault, efficiency optimization, etc. Smart energy systems integrate a holistic approach in diverse sectors including electricity, thermal comfort, power industry, transportation. It allows affordable and sustainable solutions to solve the future energy demands with suitable alternatives. Thus, integration of the machine intelligence with the energy system, for efficient collection and effective utilization of the available energy sources, is the need of the hour.