000 -LEADER |
fixed length control field |
01953cam a2200289 i 4500 |
001 - CONTROL NUMBER |
control field |
18295240 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20181218092926.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
140909s2015 enk 000 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2014032238 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781107076877 (hardback) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Transcribing agency |
DLC |
Description conventions |
rda |
Modifying agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TK1005 |
Item number |
.T427 2015 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
621.3101/5196 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Taylor, Joshua Adam, |
Dates associated with a name |
1983- |
245 10 - TITLE STATEMENT |
Title |
Convex optimization of power systems / |
Statement of responsibility, etc |
Joshua Adam Taylor. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiv, 197 pages ; |
Dimensions |
26 cm |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Machine generated contents note: 1. Introduction; 2. Background; 3. Optimal power flow; 4. System operation; 5. Infrastructure planning; 6. Economics; 7. Future directions. |
520 ## - SUMMARY, ETC. |
Summary, etc |
"Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Electric power systems |
General subdivision |
Mathematical models. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Electric power distribution |
General subdivision |
Mathematics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Convex programming. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical optimization. |
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 |
|
Koha item type |
Book |