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Künstliche Intelligenz-basierte Energiemanagementsysteme für smarte Microgrids von -
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Ca.EUR 253,71
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Standort: Fairfield, Ohio, USA
Lieferung:
Lieferung zwischen Sa, 25. Okt und Mo, 3. Nov nach 94104 bei heutigem Zahlungseingang
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eBay-Artikelnr.:397056927170
Artikelmerkmale
- Artikelzustand
- ISBN-13
- 9780367754341
- Type
- NA
- Publication Name
- NA
- ISBN
- 9780367754341
Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0367754347
ISBN-13
9780367754341
eBay Product ID (ePID)
17057244100
Product Key Features
Publication Year
2022
Book Title
Artificial Intelligence-Based Energy Management Systems for Smart Micro Grids
Topic
Engineering (General)
Number of Pages
370 Pages
Language
English
Illustrator
Yes
Genre
Technology & Engineering
Format
Hardcover
Additional Product Features
LCCN
2021-058070
Dewey Edition
23/eng/20220110
Dewey Decimal
621.31
Synopsis
Modeling and optimization of energy management systems for micro- and mini-grids play an important role in the fields of energy generation dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text provides an in-depth insight into these topics. This text discusses the use of meta-heuristic and artificial intelligence algorithms for developing energy management systems with energy use prediction for mini- and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, optimal protection coordination-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. Key Features: Presents a comprehensive discussion of mini- and microgrid concepts Discusses AC and DC microgrid modeling in detail Covers optimization of mini- and microgrid systems using AI and meta-heuristic techniques Provides MATLAB(R)-based simulations on a mini- and microgrid Comprehensively discussing concepts of microgrids with the help of software-based simulations, this text will be useful as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology.
LC Classification Number
TK3105.A78 2022
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