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220822 ||| eng |
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|a 9783036503899
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|a books978-3-0365-0389-9
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|a 9783036503882
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| 100 |
1 |
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|a Varilone, Pietro
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| 245 |
0 |
0 |
|a Microgrid Energy Management
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (144 p.)
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| 653 |
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|a inverter
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| 653 |
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|a microgrid
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| 653 |
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|a hierarchical control
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| 653 |
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|a prediction interval
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| 653 |
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|a emission management
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| 653 |
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|a home energy management scheme (HEMS)
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| 653 |
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|a predictive control
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| 653 |
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|a uncertainty
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| 653 |
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|a energy management system
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| 653 |
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|a solar PV
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| 653 |
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|a ultra-capacitor
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a supervisory control
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| 653 |
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|a electric vehicles
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| 653 |
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|a resilience
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| 653 |
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|a power sharing algorithm (PSA)
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| 653 |
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|a robust control
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| 653 |
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|a renewable energy sources (RESs)
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| 653 |
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|a Research & information: general / bicssc
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| 653 |
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|a economic analysis
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| 653 |
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|a charging station
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| 653 |
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|a control
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| 653 |
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|a photovoltaic
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| 653 |
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|a energy management
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| 653 |
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|a smart grid
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| 653 |
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|a hybrid diesel/battery ships
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| 653 |
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|a battery
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| 653 |
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|a wavelets
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| 653 |
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|a resilient microgrid
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| 653 |
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|a energy storage systems
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| 653 |
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|a residence energy management (REM)
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| 653 |
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|a DC microgrid
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| 653 |
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|a adaptive control
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| 653 |
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|a wind turbine
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| 700 |
1 |
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|a Varilone, Pietro
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-0389-9
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/76359
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3784
|7 0
|x Verlag
|3 Volltext
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| 082 |
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|a 000
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| 082 |
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|a 333
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|a 330
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|a In IEEE Standards, a Microgrid is defined as a group of interconnected loads and distributed energy resources with clearly defined electrical boundaries, which acts as a single controllable entity with respect to the grid and can connect and disconnect from the grid to enable it to operate in both grid-connected or island modes. This Special Issue focuses on innovative strategies for the management of the Microgrids and, in response to the call for papers, six high-quality papers were accepted for publication. Consistent with the instructions in the call for papers and with the feedback received from the reviewers, four papers dealt with different types of supervisory energy management systems of Microgrids (i.e., adaptive neuro-fuzzy wavelet-based controls, cost-efficient power-sharing techniques, and two-level hierarchical energy management systems); the proposed energy management systems are of quite general purpose and aim to reduce energy usages and monetary costs. In the last two papers, the authors concentrate their research efforts on the management of specific cases, i.e., Microgrids with electric vehicle charging stations and for all-electric ships.
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