Intelligent Data Mining and Analysis in Power and Energy Systems : (Record no. 6267)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03132cam a22003858i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 22784291 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241115143637.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220908s2023 nju 000 0 eng c |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2022043311 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119834021 |
| Qualifying information | (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | WaSeSS/DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK1001 |
| Item number | .I61 2023 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.31 |
| Edition number | 23/eng/20220909 |
| 245 00 - TITLE STATEMENT | |
| Title | Intelligent Data Mining and Analysis in Power and Energy Systems : |
| Remainder of title | models and applications for smarter efficient power systems / |
| Statement of responsibility, etc. | Edited by Zita A. Vale, Tiago Pinto, Michael Negnevitsky, Ganesh Kumar Venayagamoorthy. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2211 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, New Jersey: |
| Name of producer, publisher, distributor, manufacturer | Wiley, |
| -- | IEEE Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2023]. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxvii, 451 pages : |
| Other physical details | illustration ; |
| Dimensions | 26 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Carrier type code | nc |
| Source | rdacarrier |
| 490 0# - SERIES STATEMENT | |
| Series statement | IEEE press series on power and energy systems |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "The increasing penetration of distributed renewable energy sources and the consequent empowerment of consumers to become active players in mitigating the lack of generation flexibility with demand flexibility, are driving the power and energy system towards an historic paradigm shift. The small scale, diversity, and number of new players involved in the power and energy field, potentiate a significant growth of generated data. Moreover, advances in telecommunications and digitalization hugely increased the volume of data that results from power and energy components, installations, and systems operation. This data is becoming more and more important for power and energy systems operation and planning, with relevant impact on all involved entities, from producers, consumers and aggregators, to market and system operators. However, although the power and energy community is fully aware of the intrinsic value of the data, the methods to deal with it still require significant improvements and research. Data mining and intelligent data analysis are thereby playing a crucial role in this domain, by enabling players to improve their decision-making process and gain awareness of the power and energy environment. This book brings together the state-of-the-art advances in intelligent data mining and analysis as drivers for the needed evolution of power and energy systems. Although there are some recent books on data mining in general, there is no significant review/survey material on data mining and intelligent data analysis models and their applications in power and energy systems."-- |
| Assigning source | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Electric power systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Vale, Zita, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pinto, Tiago, |
| Titles and other words associated with a name | PhD, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Negnevitsky, Michael, |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Venayagamoorthy, Ganesh Kumar, |
| Relator term | editor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Online version: |
| Title | Intelligent data mining and analysis in power and energy systems |
| Place, publisher, and date of publication | Hoboken, New Jersey : Wiley-IEEE Press, [2023] |
| International Standard Book Number | 9781119834038 |
| Record control number | (DLC) 2022043312 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 1 |
| e | ecip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | General Collection | Rabdan Academy | Rabdan Academy | General Stacks | 01/09/2024 | GOBI | TK1001 .I61 2023 | 22580 | 01/09/2024 | C. 1 | 01/09/2024 | Books | $ 146.25 |