Artificial intelligence empowered smart energy systems / Qiang Yang, Gang Huang.
| Author/creator | Yang, Qiang |
| Other author | Huang, Gang (Assistant professor |
| Format | Electronic |
| Publication Info | Hoboken, New Jersey : Wiley, [2025] |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Series | IEEE Press series on power and energy systems |
| Abstract | "Smart energy systems empowered by artificial intelligence represents a cutting-edge fusion of technology and sustainability. Evolving from traditional energy grids, these systems leverage AI to optimize energy generation, distribution, and management. Over the next five years, researchers anticipate even greater integration of AI into energy infrastructure, enabling more accurate renewable energy forecasting, improved grid resilience, and informed energy consumption choices for individuals. This transformative technology empowers people, industries, and governments to enhance energy efficiency, reduce costs, and meet sustainability goals. It closely aligns with renewable energy, IoT, and climate change mitigation efforts, promising a more efficient and sustainable energy future."-- Provided by publisher. |
| General note | Includes index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2025023023 |
| ISBN | 9781394253616 hardback |
| ISBN | adobe pdf |
| ISBN | epub |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |