A Stochastic dynamic programming problem in electricity markets

Tonkes, Elliot J.; Lesmono, Julius Dharma

dc.contributor.author	Tonkes, Elliot J.
dc.contributor.author	Lesmono, Julius Dharma
dc.date.accessioned	2017-07-10T03:19:08Z
dc.date.available	2017-07-10T03:19:08Z
dc.date.issued	2009
dc.identifier.other	maklhsc180
dc.identifier.uri	http://hdl.handle.net/123456789/2473
dc.description	Makalah dipresentasikan pada The 5th Asian Mathematical Conference. Universiti Sains Malaysia (USM), The Malaysian Mathematical Sciences Society (PERSAMA) and Mathematics Departments of Malaysian Public Universities in collaboration with the Ministry of Higher Education. Malaysia, June 22-26, 2009.	en_US
dc.description.abstract	We study a financial and operational problem relating to demand-side management in the Alberta electricity market in Canada. The problem relates to the valuation and derivation of an optimal management strategy to undertake power load curtailment subject to contractual constraints. Our solution applies stochastic dynamic programming based on the system state which includes the electricity spot price and remaining resources. The solution generates the best allocation of curtailment within a calendar year and establishes the optimal exercise boundaries, that is, when to commence and conclude curtailment.	en_US
dc.publisher	Asian Mathematical Conference	en_US
dc.subject	electricity markets	en_US
dc.subject	curtailment	en_US
dc.subject	STOCHASTIC DYNAMIC PROGRAM	en_US
dc.title	A Stochastic dynamic programming problem in electricity markets	en_US
dc.type	Conference Papers	en_US