This report shows wholesale energy prices for the electricity spot market. Parameters allow selection of weighting type, time scale, and regional averages.
This report shows the electricity demand from the grid. Users can drill down from a national level to individual nodes and investigate trends through time.
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 electricity generation injected into the grid. Users can drill down from a national level to individual nodes and investigate trends through time.
This report shows the flow (MW) and the energy transferred (MWh) across the HVDC link that connects Benmore in the South Island to Haywards in the North Island. For longer time scales, the net transfer or peak flow can be shown.
This report shows prices for reserves (FIR and SIR) in the electricity spot market through time.
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 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 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.