A novel approach for building wind power output prediction based on deep learning AI Models / (Record no. 603224)

000 -LEADER
fixed length control field 00525nam a2200169Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230925s9999||||xx |||||||||||||| ||und||
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31 RAS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rasheed, Aisha (328204)
9 (RLIN) 118257
245 #2 - TITLE STATEMENT
Title A novel approach for building wind power output prediction based on deep learning AI Models /
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. USPCAS-E, NUST,Islamabad :
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent viii, 64 p.
520 ## - SUMMARY, ETC.
Summary, etc. TH-477
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Form subdivision MS Thesis
9 (RLIN) 18721
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Form subdivision MS-EEP Thesis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dr. Sehar Shakir
9 (RLIN) 117750
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
          US-Pakistan Center for Advanced Studies in Energy (USPCAS-E) US-Pakistan Center for Advanced Studies in Energy (USPCAS-E) 08/08/2023 621.31 RAS CAS-ETH0000477 09/25/2023 09/25/2023 Thesis
© 2023 Central Library, National University of Sciences and Technology. All Rights Reserved.