Don’t have time to post more about this one today, but want to flag this as a place holder such that I can refer to it more directly from time to time – like with respect to the linked posts I’ll progressively add in here:
Prior to Sept 2017
There have been posts made in the past that reference this Analytical challenge.
When I have time to dig them up, I’ll link them in here for your reference – to highlight the diversity of when analysts need to be conscious of “what might have otherwise been”.
Mon 4th Sept 2017
Following some claims made in the SMH that pointedly implied that the establishment of the market was the root cause of the (much more recent) escalation in wholesale prices in the NEM, I posted this rebuttal (and I again apologise for the colourful language that’s still doing the rounds on social media).
These sort of arguments inevitably include a strong element of “what would otherwise have been” if [INSERT KEY CHANGE PROPONENT DOES NOT LIKE] had not happened.
Paul was one of the founders of Global-Roam in February 2000. He is currently the CEO of the company and the principal author of WattClarity. Writing for WattClarity has become a natural extension of his work in understanding the electricity market, enabling him to lead the team in developing better software for clients.
Before co-founding the company, Paul worked as a Mechanical Engineer for the Queensland Electricity Commission in the early 1990s. He also gained international experience in Japan, the United States, Canada, the UK, and Argentina as part of his ES Cornwall Memorial Scholarship.
A first (and perhaps only – as this took longer than initially planned) walk through some of the interesting points of what happened yesterday (Sat 16th Nov 2019) when South Australia islanded from the rest of the NEM with the trip of the Heywood interconnector.
Our GSD2023 was released just over 4 weeks ago. This is the second sequential article utilising the GSD2023 Data Extract to take a look across all the Semi-Scheduled units (i.e. Wind and Solar). In this case looking at use of Self-Forecasting, and revealing more questions …
Leave a comment