Applications of Big Data and Artificial Intelligence in Smart Energy Systems : Volume 2 Energy Planning, Operations, Control and Market Perspectives (River Publishers Series in Computing and Information Science and Technology)

Nagpal, Neelu (EDT)/ Alhelou, Hassan Haes (EDT)/ Siano, Pierluigi (EDT)

River Publishers（2023/11発売）

• 製本 Hardcover:ハードカバー版／ページ数 220 p.
• 言語 ENG
• 商品コード 9788770228275
• DDC分類 621.31028557

Full Description

In 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, and domestic & 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 and 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 such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems.

Technical topics discussed in the book include:

• Hybrid smart energy system technologies

• 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 business models.

Contents

1. Innovation, Opportunities, and Ongoing Challenges of AI and IOE in the Power and Energy Sector 2. Applications of Artificial Intelligence in Intelligent Combustion and Energy Storage Technologies 3. Sustainable Smart Energy Systems and Energy Preservation Strategies in Intelligent Transportation Sectors 4. Application of ANN Techniques to Mitigation of Power Quality Problems 5. Application of the LMS Algorithm for Mitigation of Voltage Sag as a Power Quality Problem 6. Blockchain-based Solutions for Electricity Supply Chain in Smart Grids 7. Virtual Power Plant 8. AI Business Models in Emerging Energy Markets: Smart Grid 9. Artificial Neural Networks and Forecasting Major Energy Markets