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|---|---|---|---|
| 001 | 978-3-030-42726-9 | ||
| 003 | DE-He213 | ||
| 005 | 20220801215603.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200619s2020 sz | s |||| 0|eng d | ||
| 020 |
_a9783030427269 _9978-3-030-42726-9 |
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| 024 | 7 |
_a10.1007/978-3-030-42726-9 _2doi |
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_aTJK _2bicssc |
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_aTEC041000 _2bisacsh |
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_aTJK _2thema |
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_a621.382 _223 |
| 245 | 1 | 0 |
_aArtificial Intelligence Techniques for a Scalable Energy Transition _h[electronic resource] : _bAdvanced Methods, Digital Technologies, Decision Support Tools, and Applications / _cedited by Moamar Sayed-Mouchaweh. |
| 250 | _a1st ed. 2020. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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| 300 |
_aIX, 382 p. 146 illus., 120 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction -- Definition, motivation and impact of digitalization in energy transition -- Definition of a general scheme (layers) of a digitalized system in energy transition -- Challenges of digitalization in energy transition -- Artificial Intelligence for energy transition -- General principals and classification of Artificial Intelligence techniques for energy transition -- Artificial Intelligence for Smart Energy Management -- Smart energy management (intrusive and non-intrusive load monitoring) -- Artificial Intelligence for Cyber Security and Privacy -- Artificial Intelligence for Mobility and Electrical Vehicles -- Mobility and electrical vehicles -- Artificial Intelligence for Micro Grid Operations and Dynamic Pricing Revenue Management -- Micro Grid operations and Dynamic Pricing Revenue Management -- Artificial Intelligence for Renewable Energy Penetration and Demand Side Management -- Renewable Energy Penetration and Demand Side Management -- Emerging Trends, Open problems, and Future Challenges -- Conclusion. | |
| 520 | _aThis book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.). Uses examples and applications to facilitate the understanding of AI techniques for scalable energy transitions Includes examples, problems, and techniques in order to increase transparency and understanding of the methodological concepts Dedicated to researchers, practitioners, and operators working with industrial systems. | ||
| 650 | 0 |
_aTelecommunication. _910437 |
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| 650 | 0 |
_aComputational intelligence. _97716 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aData mining. _93907 |
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| 650 | 0 |
_aQuantitative research. _94633 |
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| 650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
| 650 | 2 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _945269 |
| 650 | 2 | 4 |
_aData Analysis and Big Data. _945270 |
| 700 | 1 |
_aSayed-Mouchaweh, Moamar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _945271 |
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| 710 | 2 |
_aSpringerLink (Online service) _945272 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030427252 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030427276 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030427283 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-42726-9 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
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