Description
Book SynopsisIn the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth.
Technical topics discussed in the book include:
• Hybrid smart energy system technologies
• Smart meters
• Energy demand forecasting
• Use of different protocols and communication in smart energy
systems
• Power quality and allied issues and mitigation using AI
• Intelligent transportation
• Virtual power plants
• AI based smart energy business models
• Smart home solutions
• Blockchain solutions for smart grids.
Table of Contents1. Introduction to Smart Energy Systems and Recent Trends 2. An Overview of Artificial Intelligence, Big Data, and Internet of Things for Future Energy Systems 3. LoRa: A New Technology for Smart Grid Applications 4. Clustering Hybrid Application for Load Forecasting in Smart Grids 5. Big Data Analytical Techniques for Electrical Energy Forecasting in the Smart Grid Paradigm 6. A Review of Smart Grid Planning Approaches and a New Proposal for operational Planning of a Smart Grid with Smart Homes 7. Smart Meter Data Analytics Case Study: Identification of LV Distribution Network Topology to Design Optimal Planning Solutions 8. Build Smart Grids on Artificial Intelligence: A Real-world Example 9. Artificial Intelligence Enabled Energy-efficient Technologies for Secured Smart Homes 10. A Review of Technologies in Net Zero Energy Building for Islanded Operation
