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Artificial intelligence-based energy management systems for smart micro grids / edited by Baseem Khan [and four others].
- Format:
- Book
- Language:
- English
- Subjects (All):
- Microgrids (Smart power grids).
- Physical Description:
- 1 online resource (387 pages)
- Place of Publication:
- Boca Raton, Florida : CRC Press, [2022]
- Summary:
- "Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies"-- Provided by publisher.
- Contents:
- Flexibility of microgrids with energy management systems / Hooman Firoozi, Hosna Khajeh and Hannu Laaksonen
- Hybrid particle swarm optimization - artificial neural network algorithm for energy management / Kranthi Kumar, Altaf Q. H. Badar, Sanjeevikumar Padmanabhan
- Community microgrid energy scheduling based on Grey Wolf Optimization algorithm / Md Shafiullah, Md Ershadul Haque, Shorab Hossain, Md. Sanower Hossain, Md Juel Rana.
- Notes:
- Includes bibliographical references and index.
- Description based on print version record.
- ISBN:
- 1-00-329034-5
- 1-000-58919-6
- 1-000-58925-0
- 1-003-29034-5
- 9781003290346
- OCLC:
- 1313905912
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