| 000 | 02618cam a2200529Ii 4500 | ||
|---|---|---|---|
| 001 | 9781003147213 | ||
| 003 | FlBoTFG | ||
| 005 | 20240213122831.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 210616s2021 flu ob 001 0 eng d | ||
| 040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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| 020 |
_a9781000437683 _q(electronic bk.) |
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| 020 |
_a100043768X _q(electronic bk.) |
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| 020 |
_a9781003147213 _q(electronic bk.) |
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| 020 |
_a1003147216 _q(electronic bk.) |
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| 020 |
_a9781000437812 _q(electronic bk. : EPUB) |
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| 020 |
_a1000437817 _q(electronic bk. : EPUB) |
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| 020 | _z0367706164 | ||
| 020 | _z9780367706166 | ||
| 035 | _a(OCoLC)1256709024 | ||
| 035 | _a(OCoLC-P)1256709024 | ||
| 050 | 4 | _aTJ163.2 | |
| 072 | 7 |
_aCOM _x037000 _2bisacsh |
|
| 072 | 7 |
_aSCI _x024000 _2bisacsh |
|
| 072 | 7 |
_aTEC _x009070 _2bisacsh |
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| 072 | 7 |
_aPHDY _2bicssc |
|
| 082 | 0 | 4 |
_a621.042 _223 |
| 100 | 1 |
_aBoicea, Valentin A., _eauthor. |
|
| 245 | 1 | 0 |
_aEnergy management : _bbig data in power load forecasting / _cValentin A. Boicea. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aBoca Raton, FL : _bCRC Press, _c2021. |
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| 300 |
_a1 online resource (1 volume) : _billustrations (black and white). |
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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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| 520 | _aThis book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed. The book will be of interest to electrical engineers, power engineers, and energy services professionals. | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aPower resources _xManagement. |
|
| 650 | 0 |
_aPower resources _xForecasting. |
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| 650 | 0 | _aBig data. | |
| 650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh |
|
| 650 | 7 |
_aSCIENCE / Energy _2bisacsh |
|
| 650 | 7 |
_aTECHNOLOGY / Engineering / Mechanical _2bisacsh |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003147213 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c5900 _d5900 |
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