A 495MW drop in ‘Market Demand’ in NSW on Thursday morning 5th June 2025
Another short article to note a 495MW drop in demand in NSW (measured in 'Market Demand') to the 10:10 dispatch interval on Thursday 5th June 2025.
Another short article to note a 495MW drop in demand in NSW (measured in 'Market Demand') to the 10:10 dispatch interval on Thursday 5th June 2025.
The forecast differences would contribute to improved lower RMSE and MAE scores, relative to AWEFS_ASEFS, in the weekly performance assessment.
Dan adds to our ongoing case study into the events of Monday 26th May 2025, by mapping the dispatch error across all semi-scheduled units for the 16:15 dispatch interval that afternoon.
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.
Another short article with this trend from the ez2view ‘Trends Editor’ to summarise the overall trend of (monthly average) prices in the 8 x Contingency FCAS markets focused on the NSW region.
Ben Nethersole from Baringa summarises the different contracting routes available for renewables and storage, and how project business cases are increasingly stacking these together.
This is my second article today relating to events on Monday 26th May 2025 - with this article looking at Dispatch Error for each of the 188 x Semi-Scheduled units to 16:15.
Belatedly noting the dust storm that past through South Australia on Monday 26th May 2025, which Andrew Miskelly of Weatherzone documented in a video on Bsky.
A short note with a NEMwatch snapshot at 17:15 to mark some low-level price action in NSW on Sunday 1st June 2025
A short article to note that Callide C3 came back online in the early hours of Sunday morning 1st June 2025.
Anthony Cornelius from WeatherWatch explains the climate drivers behind Southeast Queensland’s unusually intense 2025 hail season — context that matters for those tracking how extreme weather is evolving and influencing the energy market.
Nadali Mahmoudi from EPEC Group presents a short case study to show why network-outage modelling is essential for understanding revenue opportunities, curtailment risk and long-term investment decisions.
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