Adoption and use of dispatch self-forecasting for wind units, Q1 2025
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.
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.
Dan shares a short time-lapse video which demonstrates four days worth of activity in the NEM, highlighting the impact of network congestion in QLD and NSW.
On Tuesday 29th April 2024 we noted a glitch in some ez2view widgets stemming from changes in the EMMS triggered by the upgrade process for Data Model v5.5.
On Monday 28th April 2025 there was a large loss of load event encompassing millions of customers across Portugal and Spain. Here's some initial notes.
Tristan Edis of Green Energy Markets discusses the practicalities of the gap that must be filled by the gas sector under the nuclear power timeline proposed by the Federal Opposition.
The Reliability Panel responded to the AEMO’s first iteration of the annual Transition Plan for System Security (TPSS) with comments with this 4-page letter on Wednesday 23rd April 2025.
I've promised to write this article for some time, but a few recent events (and looming start of FPP) have caused me to publish this now.
In this article we take an initial look at bidding across some instances of price volatility from Monday 7th April 2025 to Friday 11th April 2025.
On Tuesday 15th April 2025, the AEMO published its draft report on 'Congestion Information Resource Guidelines', seeking feedback by Monday 19th May 2025.
As the next steps in implementing the AEMC's ISF Reforms, the AEMO has published: (a) on 7th April a consultation; and (b) on 17th April a HLIA.
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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