TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-38387-8
DO  - doi
AB  - 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.
T1  - Decision making using AI in energy and sustainabilitymethods and models for policy and practice /
DA  - [2023]
CY  - Cham, Switzerland :
AU  - Kayakutlu, Gülgün,
AU  - Kayalica, M. Özgür,
CN  - TJ808
PB  - Springer,
PP  - Cham, Switzerland :
PY  - [2023]
ID  - 1482532
KW  - Énergies renouvelables
KW  - Ressources énergétiques
KW  - Intelligence artificielle
KW  - Intelligence artificielle
KW  - Renewable energy sources
KW  - Power resources
KW  - Artificial intelligence
KW  - Artificial intelligence
SN  - 9783031383878
SN  - 3031383877
TI  - Decision making using AI in energy and sustainabilitymethods and models for policy and practice /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38387-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38387-8
ER  -