Using Multi-stage Stochastic Programming to Investigate a 100% Renewable New Zealand Electricity Sector

Downward, Anthony; Philpott, Andy; Baucke, Regan

dc.contributor.author	Downward, Anthony
dc.contributor.author	Philpott, Andy
dc.contributor.author	Baucke, Regan
dc.coverage.spatial	Auckland, New Zealand
dc.date.accessioned	2021-09-05T22:27:45Z
dc.date.available	2021-09-05T22:27:45Z
dc.date.issued	2020-2-12
dc.identifier.citation	7th IAEE 2020 Conference: Energy in Transition, 12 Feb 2020
dc.identifier.uri	https://hdl.handle.net/2292/56384
dc.relation.ispartof	7th IAEE 2020 Conference: Energy in Transition
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.title	Using Multi-stage Stochastic Programming to Investigate a 100% Renewable New Zealand Electricity Sector
dc.type	Presentation
dc.date.updated	2021-08-14T13:07:17Z
dc.rights.holder	Copyright: The author	en
pubs.author-url	http://www.iaee.org/proceedings/article/16924
pubs.finish-date	2020-2-15
pubs.start-date	2020-2-12
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en
pubs.subtype	Conference Oral Presentation
pubs.elements-id	862600