Four units at Gladstone still running … was it (is it) partly a game of bluff?
A fourth update in what's visible in the market data about Industrial Action at Gladstone Power Station
A fourth update in what's visible in the market data about Industrial Action at Gladstone Power Station
Friday 31st January 2025 (appeared to) experienced a very large drop in demand in NSW in a single dispatch interval - but we're now suspecting some form of data/operational glitch. However we wonder, if...
A short record of spot price volatility in NSW on Tuesday afternoon 4th February 2025.
With all 6 x Gladstone units expected to be offline by the end of the day due to Industrial Action, very timely that AEMO MN124047 notifies the market that 'The system normal equations have...
After a pretty remarkable evening (on Monday 3rd February 2025) here's some statistics in terms of how today's peak demand levels rate in comparison with the most recent 6,244 days (i.e. back to 1st...
A quick mid-afternoon article with a snapshot from NEMwatch at 14:55 (NEM time) to highlight the current status.
A summary of the current extreme weather being experienced in North Queensland, and related impacts we've seen on electricity demand, generation and the transmission network in the area.
Taking a second look at the (apparent) large drop in NSW 'Market Demand' on Friday afternoon 31st January 2025. Was it a data glitch instead?
An update (at 09:00 NEM time) on AEMO's more recent forecasts for peak demand levels for this evening Monday 3rd February 2025.
Yesterday we posted ‘All 6 coal units at Gladstone coincidentally out on unplanned outage this coming week?’. Two readers noted in comments about Industrial Action for the station this week, so we take a...
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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