| 000 | 03964nam a2200661 i 4500 | ||
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| 001 | ybp305792141 | ||
| 003 | NhCcYBP | ||
| 005 | 20251125160142.0 | ||
| 006 | m|||||||||d||||||| | ||
| 007 | cr||n||||||||| | ||
| 008 | 240327s2024 flu eo 001 0 eng d | ||
| 020 | _a9781003470274 | ||
| 020 | _a1003470270 | ||
| 020 | _a9781040016251 | ||
| 020 | _a1040016251 | ||
| 020 | _a1040016111 | ||
| 020 | _a9781040016114 | ||
| 020 | _z9781032707907 | ||
| 020 | _z9781032472065 | ||
| 020 | _a1003470270 | ||
| 020 | _a1040016251 | ||
| 020 | _a1040016111 | ||
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| 020 | _a1032472065 | ||
| 024 | 3 | _a9781003470274 | |
| 024 | 7 |
_a10.1201/9781003470274 _2doi |
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| 037 |
_a9781003470274 _bTaylor & Francis |
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| 040 |
_aNhCcYBP _cNhCcYBP |
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| 043 | _aua | ||
| 050 | 4 |
_aTJ808 _b.I57 2024eb |
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| 072 | 7 |
_aTEC _x007000 _2bisacsh |
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| 072 | 7 |
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| 072 | 7 |
_aTJFM _2bicssc |
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| 082 | 0 | 4 |
_a621.042 INT _223/eng/20240327 |
| 245 | 1 | 0 |
_aIntelligent data-driven modelling and optimization in power and energy applications / _cedited by B Rajanarayan Prusty, Neeraj Gupta, Kishore Bingi, and Rakesh Sehgal. |
| 250 | _a1st Edition. | ||
| 264 | 1 |
_aBoca raton, FL : _bCRC Press, _c2024. |
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| 300 |
_a238 pages: _billustrations; _c16 cm. |
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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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| 490 | 0 | _aIntelligent Data-Driven Systems and Artificial Intelligence | |
| 500 | _aIncludes index. | ||
| 505 | 0 | _aChapter 1 - Preprocessing approaches for data-driven modellingKishore Bingi, B. Rajanarayan Prusty, and Neeraj GuptaChapter 2 - Power system planning using data-driven modelsB. Rajanarayan Prusty, Sujith Jacob, and Kishore BingiChapter 3 - Data-driven analytics for power system stability assessmentPurna Prakash Kasaraneni, Yellapragada Venkata Pavan Kumar, and Ramani KannanChapter 4 - Data-driven machine learning models for load power forecasting in photovoltaic systemsPrem Prakash Vuppuluri, K. Pritam Satsangi, Pihu Agarwal, and Tania AroraChapter 5 - Forecasting of renewable energy using fractional-order neural networksBhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi, B. Rajanarayan Prusty, and Madiah OmarChapter 6 - Data-driven photovoltaic system characteristic determination using non-linear system identificationYellapragada Venkata Pavan Kumar, Challa Pradeep Reddy, Ramani Kannan, and Purna Prakash KasaraneniChapter 7 - Fractional feed-forward neural network-based smart grid stability prediction modelBhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi, Rosdiazli Ibrahim, and B. Rajanarayan PrustyChapter 8 - Data-driven optimization framework for microgrid energy managementMohamed Atef, Moslem Uddin, Md Masud Rana, Md Rasel Sarkar, and G.M. ShafiullahChapter 9 - Optimization of controllers for sustained buildingGaurav KumarChapter 10 - Intelligent data-driven approach for fractional-order wireless power transfer systemArshaque Ali, Ashneel Kumar, Utkal Mehta, and Maurizio Cirrincione | |
| 533 |
_aElectronic reproduction. _bIpswich, MA _nAvailable via World Wide Web. |
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| 650 | 0 |
_aRenewable energy sources _xComputer simulation. |
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| 650 | 0 |
_aArtificial intelligence _xEngineering applications. |
|
| 700 | 1 |
_aPrusty, B. Rajanarayan, _eeditor. |
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| 700 | 1 |
_aGupta, Neeraj, _eeditor. |
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| 700 | 1 |
_aBingi, Kishore, _eeditor. |
|
| 700 | 1 |
_aSehgal, Rakesh, _eeditor. |
|
| 856 | 4 | 0 |
_aAll Campuses _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3852242 _zAvailable on campus and off campus with authorized logon |
| 942 |
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