Field |
Value |
Language |
dc.contributor.author |
Katona, K |
|
dc.contributor.author |
Nikitopoulos, CS |
|
dc.contributor.author |
Schlögl, E |
|
dc.date.accessioned |
2023-08-17T04:26:00Z |
|
dc.date.available |
2023-08-17T04:26:00Z |
|
dc.date.issued |
2022-12-09 |
|
dc.identifier.citation |
Risks, 2022, 11, (8), pp. 147-147 |
|
dc.identifier.issn |
2227-9091 |
|
dc.identifier.uri |
http://hdl.handle.net/10453/171802
|
|
dc.description.abstract |
<jats:p>Modelling the energy price in the Australian National Electricity Market (NEM) requires features that are not well reflected in existing models. We present a semi-structural, multi-regional model wherein bidding is not required to be cost-based, renewable fuels and storage technology are structurally integrated, and network constraints are often binding in optimal dispatch. Available fuel capacity then does not necessarily sum to registered bid capacity, as-bid fuel costs do not dependably follow input fuel prices, and cross-regional interconnectedness requires modelling trade. Furthermore, modelling the NEM spot price path must admit price negativity and price spikes. Extending previous work in the literature, the present paper proposes a hyperbolic bid stack approach to price modelling under these conditions.</jats:p> |
|
dc.language |
en |
|
dc.publisher |
MDPI AG |
|
dc.relation.ispartof |
Risks |
|
dc.relation.isbasedon |
10.3390/risks11080147 |
|
dc.rights |
info:eu-repo/semantics/restrictedAccess |
|
dc.subject |
1502 Banking, Finance and Investment, 1503 Business and Management |
|
dc.subject.classification |
3502 Banking, finance and investment |
|
dc.title |
A Hyperbolic Bid Stack Approach to Electricity Price Modelling |
|
dc.type |
Journal Article |
|
utslib.citation.volume |
11 |
|
utslib.for |
1502 Banking, Finance and Investment |
|
utslib.for |
1503 Business and Management |
|
pubs.organisational-group |
/University of Technology Sydney |
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Business |
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Business/Finance Discipline |
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Science |
|
pubs.organisational-group |
/University of Technology Sydney/Strength - QFRC - Quantitative Finance Research Centre |
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences |
|
pubs.organisational-group |
/University of Technology Sydney/Strength - CBSD - Centre for Business and Sustainable Development |
|
utslib.copyright.status |
in_progress |
* |
dc.date.updated |
2023-08-17T04:25:59Z |
|
pubs.issue |
8 |
|
pubs.publication-status |
Published online |
|
pubs.volume |
11 |
|
utslib.citation.issue |
8 |
|