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Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 2
Big Island, Hawaii
January 05-January 08
ISBN: 0-7695-2056-1
ASCII Text
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David P. Chassin, "Statistical Mechanics: A Possible Model for Market-Based Electric Power Control," Hawaii International Conference on System Sciences, vol. 2, pp. 20047b, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 2, 2004.
 
 
BibTex
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@article{ 10.1109/HICSS.2004.1265165,
author = {David P. Chassin},
title = {Statistical Mechanics: A Possible Model for Market-Based Electric Power Control},
journal ={Hawaii International Conference on System Sciences},
volume = {2},
year = {2004},
issn = {1530-1605},
pages = {20047b},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2004.1265165},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Hawaii International Conference on System Sciences
TI - Statistical Mechanics: A Possible Model for Market-Based Electric Power Control
SN - 1530-1605
SP
EP
A1 - David P. Chassin,
PY - 2004
KW - null
VL - 2
JA - Hawaii International Conference on System Sciences
ER -
 
David P. Chassin, Pacific Northwest National Laboratory
Statistical mechanics provides a useful analog for understanding the behavior of complex adaptive systems, including electric power markets and the power systems they intend to govern. Market-based control is founded on the conjecture that the regulation of complex systems based on price-mediated strategies (e.g., auctions, markets) results in an optimal allocation of resources and emergent optimal system control. This paper discusses the derivation and some illustrative applications of a first-principles model of market-based system dynamics based on strict analogies to statistical mechanics.
Citation:
David P. Chassin, "Statistical Mechanics: A Possible Model for Market-Based Electric Power Control," hicss, vol. 2, pp.20047b, Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 2, 2004
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