Applied Innovation and Technology Management: Methods and Models for Policy and Practice

Kayakutlu, Gülgün; Kayalica, M. Özgür

Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields.  Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.

Details

Published by: Springer

Publication Date: 2023-10-17

Format: Hardcover

ISBN-13: 9783031383861

DOI: 10.1007/978-3-031-38387-8

Dimensions: 235cm x155cm

Pages: 312