| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000cam a22000008i 4500 |
| 001 |
in00005776089 |
| 005 |
20260327191514.7 |
| 006 |
m o d |
| 007 |
cr ||||||||||| |
| 008 |
250708t20262026ne ob 001 0 eng d |
| 040 |
|
|
|a UKMGB
|b eng
|e rda
|e pn
|c UKMGB
|d OCLCO
|d N$T
|d OPELS
|d UKAHL
|d TFW
|
| 015 |
|
|
|a GBC583568
|2 bnb
|
| 016 |
7 |
|
|a 300591805
|2 Uk
|
| 020 |
|
|
|a 9780443289545
|q (electronic book)
|
| 020 |
|
|
|a 0443289549
|q (electronic book)
|
| 020 |
|
|
|z 9780443289538
|
| 020 |
|
|
|z 0443289530
|
| 024 |
8 |
|
|a CIPO000264101
|
| 035 |
|
|
|a (OCoLC)1533769773
|
| 050 |
|
4 |
|a TJ163.5.B84
|
| 082 |
0 |
4 |
|a 696
|2 23
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Machine learning and data analysis for energy efficiency in buildings :
|b intelligent operation, maintenance, and optimization of building energy systems /
|c edited by Tianyi Zhao, Chengyu Zhang, Ben Jiang.
|
| 264 |
|
1 |
|a Amsterdam, Netherlands ;
|a Cambridge, MA, United States :
|b Elsevier,
|c [2026]
|
| 264 |
|
4 |
|c ©2026
|
| 300 |
|
|
|a 1 online resource
|
| 334 |
|
|
|a single unit
|b mono
|0 http://id.loc.gov/vocabulary/issuance/mono
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|2 rdaft
|0 http://id.loc.gov/vocabulary/mfiletype/text
|
| 353 |
|
|
|a bibliography
|b bibliography
|0 http://id.loc.gov/vocabulary/msupplcont/bibliography
|
| 353 |
|
|
|a index
|b index
|0 http://id.loc.gov/vocabulary/msupplcont/index
|
| 490 |
0 |
|
|a Advances in intelligent energy systems
|
| 504 |
|
|
|a Includes bibliographical references and index.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (ScienceDirect platform, viewed February 23, 2026).
|
| 650 |
|
0 |
|a Buildings
|x Energy conservation
|x Data processing.
|
| 650 |
|
0 |
|a Energy consumption
|x Data processing.
|
| 650 |
|
0 |
|a Machine learning
|x Industrial applications.
|
| 650 |
|
0 |
|a Machine learning
|x Environmental aspects.
|
| 650 |
|
6 |
|a Apprentissage automatique
|x Applications industrielles.
|
| 650 |
|
7 |
|a Buildings
|x Energy conservation
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Energy consumption
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Machine learning
|x Industrial applications
|2 fast
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 700 |
1 |
|
|a Zhao, Tianyi,
|e editor.
|
| 700 |
1 |
|
|a Zhang, Chengyu,
|e editor.
|
| 700 |
1 |
|
|a Jiang, Ben,
|e editor.
|
| 710 |
2 |
|
|a ScienceDirect (Online service)
|
| 776 |
0 |
8 |
|i Print version:
|z 9780443289538
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780443289538
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a Elsevier ScienceDirect 2026-2027
|
| 955 |
|
|
|a Knovel ebooks
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
f |
|i e4fce28c-fdc1-48f2-b71f-4d9e5f6908cb
|s ed331ed1-21bf-4686-99af-7b87937e33cb
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e TJ163.5.B84
|h Library of Congress classification
|
| 998 |
f |
f |
|a TJ163.5.B84
|t 0
|l Available Online
|