Neural networks as a tool for unit commitment

Peter Rønne-Hansen; Jan Rønne-Hansen

doi:10.1109/ANN.1991.213465

Neural networks as a tool for unit commitment

Peter Rønne-Hansen, Jan Rønne-Hansen

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

644 Downloads (Pure)

Abstract

Some of the fundamental problems when solving the power system unit commitment problem by means of neural networks have been attacked. It has been demonstrated for a small example that neural networks might be a viable alternative. Some of the major problems solved in this initiating phase form a basis for the analysis of real life sized problems. These will be investigated in the near future

Original language	English
Title of host publication	Proceedings of the First International Forum on Applications of Neural Networks to Power Systems
Publisher	IEEE
Publication date	1991
Pages	266-270
ISBN (Print)	0-7803-0065-3
DOIs	https://doi.org/10.1109/ANN.1991.213465
Publication status	Published - 1991
Event	International Forum on Applications of Neural Networks to Power Systems - Seattle, WA Duration: 1 Jan 1991 → … Conference number: 1st

Conference

Conference	International Forum on Applications of Neural Networks to Power Systems
Number	1st
City	Seattle, WA
Period	01/01/1991 → …

Bibliographical note

Copyright: 1991 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Access to Document

10.1109/ANN.1991.213465

R nneFinal published version, 448 KB

OpenUrl availability

Full text

Cite this

@inproceedings{7cf2fc4ac53847b78bad464253bd2580,

title = "Neural networks as a tool for unit commitment",

abstract = "Some of the fundamental problems when solving the power system unit commitment problem by means of neural networks have been attacked. It has been demonstrated for a small example that neural networks might be a viable alternative. Some of the major problems solved in this initiating phase form a basis for the analysis of real life sized problems. These will be investigated in the near future",

author = "Peter R{\o}nne-Hansen and Jan R{\o}nne-Hansen",

note = "Copyright: 1991 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; International Forum on Applications of Neural Networks to Power Systems ; Conference date: 01-01-1991",

year = "1991",

doi = "10.1109/ANN.1991.213465",

language = "English",

isbn = "0-7803-0065-3",

pages = "266--270",

booktitle = "Proceedings of the First International Forum on Applications of Neural Networks to Power Systems",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Neural networks as a tool for unit commitment

AU - Rønne-Hansen, Peter

AU - Rønne-Hansen, Jan

N1 - Conference code: 1st

PY - 1991

Y1 - 1991

N2 - Some of the fundamental problems when solving the power system unit commitment problem by means of neural networks have been attacked. It has been demonstrated for a small example that neural networks might be a viable alternative. Some of the major problems solved in this initiating phase form a basis for the analysis of real life sized problems. These will be investigated in the near future

AB - Some of the fundamental problems when solving the power system unit commitment problem by means of neural networks have been attacked. It has been demonstrated for a small example that neural networks might be a viable alternative. Some of the major problems solved in this initiating phase form a basis for the analysis of real life sized problems. These will be investigated in the near future

U2 - 10.1109/ANN.1991.213465

DO - 10.1109/ANN.1991.213465

M3 - Article in proceedings

SN - 0-7803-0065-3

SP - 266

EP - 270

BT - Proceedings of the First International Forum on Applications of Neural Networks to Power Systems

PB - IEEE

T2 - International Forum on Applications of Neural Networks to Power Systems

Y2 - 1 January 1991

ER -

Neural networks as a tool for unit commitment

Abstract

Conference

Bibliographical note

Access to Document

OpenUrl availability

Fingerprint

Cite this