دانلود کتاب روش‌های توانمندسازی برای انرژی‌های تجدیدپذیر و پایدار

Economic development and environmental preservation are the key factors to com-pete and sustain in the current challenging world. The use of renewable energy sources plays a major role to meet the aforementioned objectives. Nowadays, peo-ple are more focused to utilize the vast potential of different sources of renewable energy viz. hydropower, solar, geothermal, biomass and wind. The development in renewable energy ( RE) generation has sparked a paradigm change in the energy sec-tor. In the current scenario, approximately 17% of the world energy requirement is obtained by different sources of renewable energy and this contribution is still going to increase with special emphasis to reduce the negative impacts of fossil fuel- based conventional energy sources.
However, the fluctuation in energy generation due to variability in weather condi-tions and availability of renewable energy resources are the key challenges to over-come. Therefore, continuous advancements in technologies and process control are being made to mitigate the variable output nature of energy generated from renew-able energy sources. On the other hand, variations in the energy demand accelerate the focus towards innovative technologies to integrate with the renewable energy-based sources.
Various state- o f- a rt tools such as artificial intelligence ( AI), machine learning algorithms, analytical modeling, big data, cloud computing, and internet of things ( IoT) solutions may help to effectively manage and use the resources, control energy flows, regulate the grid, and optimize the work process. The use of r eal- time predic-tive analytics and data science solutions requires significant investment and readi-ness to face various challenges. By keeping in view, the current scenario, the use of artificial intelligence is necessary to revolutionize the energy market and to effec-tively harness the vast potential of renewable energy.
The present book aims to provide practical aspects and introduction to the appli-cation of various technological advancement tools such as artificial intelligence, machine learning, big data, cloud computing, and internet of things during resource forecasting, modelling of system, characterization and optimization of parameters and performance prediction of renewable energy sources.