Wholesale reports
This report shows wholesale energy prices for the electricity spot market. Parameters allow selection of weighting type, time scale, and regional averages.
This report splits offers bid into the spot market for energy in to price bands and plots the cleared quantity against these. Users are able to adjust the bands in the offer stacks and drill down to individual nodes in the wholesale market.
This report shows prices for reserves (FIR and SIR) in the electricity spot market through time.
This report shows differences average regional wholesale energy prices for a day, month, quarter or year on a map. Alternatively, the report can show the difference in regional prices relative to a selected difference node.
This report calculates historical location factors for a region or node relative to a selected basis node. A location factor is simply the ratio energy prices at two different locations. They are commonly used to adjust prices from one node to what it might be at another node or in another region.
This report summarises the distribution of historical wholesale energy prices within a day, month, quarter or year. Alternatively, the report can summarise the difference in prices for the selected regions (or nodes) relative to the prices at a selected difference node. The report provides powerful options for comparing prices both between regions and across time.
This report splits offers bid into the spot market for reserves (FIR and SIR) in to price bands and plots the cleared quantity against these. Users are able to adjust the bands in the offer stacks and investigate the reserves offered in each island.
This report shows historical location factors for a region relative to a selected basis node. A location factor is simply the ratio energy prices at two different locations. They provide useful information when seeking to manage locational price risk and can be used to adjust prices from one node to what it might be at another node or in another region.
This report provides an alternative presentation of the stress testing summary report. Rather than show the distribution of all respondents' scores, it shows the number or percentage of respondents falling into groups with similar scores.
This report explores the sensitivity of nodal prices to changes in load, or demand. Load is both incrementally increased and decreased in a series of experiments based on the price response schedule for each real-time trading period and the subsequent seven future trading periods. For each experiment, the resulting nodal prices are reported.