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1. |
Record Nr. |
UNICAMPANIASUN0051447 |
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Autore |
Ruffini, Paolo |
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Titolo |
3: Carteggio matematico / pubblicate sotto gli auspici dell'Unione matematica italiana ; a cura del prof. dr. Ettore Bortolotti |
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Pubbl/distr/stampa |
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Descrizione fisica |
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XVII, 254 p. : ill. ; 25 cm. |
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Soggetti |
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01A75 - Collected or selected works; reprintings or translations of classics [MSC 2020] |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910557678803321 |
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Autore |
Sidorov Denis N |
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Titolo |
Machine Learning for Energy Systems |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (272 p.) |
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Soggetti |
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History of engineering and technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using |
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advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on. |
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