Data-driven energy management and tariff optimization in power systems shaping the future of electricity distribution through analytics / edited by Hamidreza Arasteh, Pierluigi Siano, Niki Moslemi.
| Other author | Arasteh, Hamidreza |
| Other author | Siano, Pierluigi |
| Other author | Moslemi, Niki |
| Format | Electronic |
| Publication Info | Hoboken, New Jersey : Wiley-IEEE Press, [2025] |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "This book offers an in-depth exploration of the relationship between data mining and power systems, with a strong emphasis on energy management and tariff optimization. It navigates the complexities of modern power networks, where renewable energy integration, demand fluctuations, and evolving consumer expectations necessitate innovative solutions. By bridging the gap between theory and application, the book empowers professionals and researchers to harness data-driven paradigms for transforming power systems. Readers will acquire an understanding of how data-driven paradigms can revolutionize power systems, and will gain the ability to optimize energy consumption, reduce costs, and design tariffs that are both fair and economically viable. By use of real-world applications, readers will have the tools to navigate the challenges of renewable energy integration and evolving grid dynamics. This book offers a roadmap to a greener, more efficient, and equitable 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 | 2025025149 |
| ISBN | 9781394290277 cloth |
| ISBN | adobe pdf |
| ISBN | epub |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |