Today marks the go-live date for the AEMO’s new unit-level availability data and other STPASA changes, on 31st July 2025
New unit-level availability data and other changes to the STPASA process are scheduled to go live from today.
New unit-level availability data and other changes to the STPASA process are scheduled to go live from today.
The CSIRO published the final version of their 2024/25 GenCost report yesterday.
A brief article to note the continued impact of the Tailem Bend to Tungkillo line outage on FCAS prices.
A belated post to note a new all-time record for wind production was broken on Friday evening.
An agreement restraining how Basslink is bid into the energy market has ended, resulting in changes in bidding and energy flows.
A primer ahead of the CEC’s Clean Energy Summit in Sydney next week, highlighting just a few of the many questions on our minds.
A short post to note some price volatility for the 'Lower 1 Sec' contingency FCAS commodity in SA today, with prices flickering between the FCAS price floor and the market price cap.
An initial review of payment and cost outcomes of the first 44 days of financial operation of the FPP arrangements.
The incident description in the scheduling error declaration provides us with a glimpse into the underlying cause.
A quick view of our congestion map where constraints on the Heywood interconnector may elevate risk of high energy and FCAS prices this week.
Alice Matthews examines how approval times for renewables vary widely by state and technology — with NSW wind projects facing the longest delays.
Carl Daley examines the underlying conditions and outcomes that occurred last Thursday evening, the 26th of June.
A sequence of afternoon intervals stand out because the forecast appeared to be biased low – self-forecasts suddenly dropped roughly 30-40 percentage points and then increased a short time later.
Theoretically, if a self-forecasting system never offers forecasts for more than 60% of intervals it may perpetually skip the performance assessment and the system could continue for use unsuppressed.
In another style of biasing a self-forecast, "lunar megawatts" represent an expectation of solar farm generation at night when it really should be zero.
The forecast differences would contribute to improved lower RMSE and MAE scores, relative to AWEFS_ASEFS, in the weekly performance assessment.
In today’s article (part 1 in this series) we present an example of biasing (at an unnamed solar farm), which we find aligns with FCAS cost mitigation.
47% of dispatch intervals for semi-scheduled solar units are seeing a self-forecast used. When there are gaps, was the unit suppressed?
Dan dives into the history of the NEM’s market cap and explores how high-end prices contribute to regional settlement costs and cap payouts.
We summarise how wind units are using self-forecasting to-date. The analysis leads us to consider where upcoming market change may lead the industry.