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Retail

This folder provides access to datasets that relate to the operation of the retail electricity market.

Wholesale

The wholesale folder provides access to a wide range of data relating to the operation of the wholesale electricity market. For example, final pricing raw case files, vSPD input GDX files, and CSV files containing final prices, half hourly metered data, bids and offers, and much more.

Ancillary services

This folder provides access to datasets that relate to the operation of markets for ancillary services. Electricity markets require ancillary services to ensure the quality and reliability of the electricity supply is maintained at acceptable levels. Offers to supply frequency keeping services are an example of the data available to be downloaded.

Forward markets

This folder provides access to information and datasets relating to forward markets. For example, the weekly report summarising activity on the ASX New Zealand electricity futures and options exchange and the New Zealand electricity hedge disclosure system. Forward markets can take many forms, and enable parties to manage price or location risks by trading contracts derived from the spot market for electricity.

Environment

Environmental factors such as weather can significantly influence outcomes in the electricity market. This folder provides access to environmental datasets. For example, lake levels and inflows into hydro storage reservoirs.

Supplementary information

This folder provides access to supplementary information that supports reports published elsewhere by the Electricity Authority. For example, the analysis undertaken to support a consultation project or an industry study.

vSPD

vSPD is an independently audited, mathematical replica of the Scheduling, Pricing and Dispatch (SPD) market clearing engine used in the administration and operation of the New Zealand electricity market.

GEM

GEM, which stands for Generation Expansion Model, is a GAMS-based, long-term capacity expansion model of the New Zealand electricity sector.

Doasa

Doasa is a version of the stochastic dual dynamic programming technique applied to the solution of hydro-thermal scheduling problems.

HSS

The Hydro Supply Security (HSS) test applies a deterministic methodology to calculate the risk of a storable hydro supply shortage by assuming that storable hydro is treated as the last resort supply of energy. The HSS test is encapsulated in a simplified version of the vSPD model.

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Grid demand trends

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Notes:

  1. Region types are either network-based or derived from standard statistical boundaries. The current network-based regions are nodes and zones. Mappings are provided in the NSP table which is available as a wholesale report.
  2. The time scale controls the resolution of data presented. This parameter provides a useful summary function that sums or averages data depending on report. There are settings which will automatically adjust to limit the load that large queries (long time periods at trading period time scale) place on our system. Data summarised with time scales is listed at the start of the period; part periods are not shown.
  3. Reconciled demand and generation data is our most complete source of data and refers to all purchases and sales on the wholesale market that are cleared through the clearing manager. This data becomes available around the middle of the following month. More specifically, reconciled demand and generation refers to loss-adjusted purchases and sales, and represents the purchase and sale quantities upon which money changes hands between participants and the clearing manager. The loss-adjustment means that the actual consumption data submitted to the reconciliation manager by retailers and other purchasers is grossed up to account for losses in the distribution networks.
  4. Final pricing demand and generation can be used as a proxy for reconciled demand and generation during the period for which reconciliation data is unavailable. Implementing this proxy requires making some assumptions regarding wind generation and demand. For final pricing demand, all positive demand from the final pricing case is counted; negative demand (wind generation) is ignored. Similarly, for final pricing generation, all generation plus the absolute value of negative demand (wind generation) is included. These conventions regarding final pricing demand and generation are used in calculating weighted prices.
  5. For more information on specific terms and their definitions please visit the glossary on this website.