Collation of articles written for WattClarity and pertaining to the purposes for (and methods used to deliver) participant self-forecasting for their Semi-Scheduled units, as an alternative to AEMO’s ASEFS or AWEFS processes.
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 …
Read MoreIt is indispensable to understand how the semi-scheduled unit availability gets produced to optimally manage the critical inputs and comprehend dispatch outcomes. This article explains the key inputs and processes, focusing on the dispatch timeframe.
Today (Tue 23rd May) is the go-live date for AEMO’s EMMS v5.2 – which will contain new data for some market enhancements. Here’s a quick look at where this first change will appear in ez2view, highlighting some considerations for Semi-Scheduled units and self-forecasting.
We delve deeper into dispatch availability self-forecasts and the assessment process to further enhance our understanding of this important aspect, testing sensitivity to gate closure times and requirements on minimum intervals.
This first excerpt from GenInsights Quarterly Update for Q4 2022 looks specifically at the trended level of adoption of self-forecasting for Semi-Scheduled Solar Farms in the NEM. This article on Monday 26th February 2023 precedes some changes AEMO might make on Tuesday 27th February 2023.
Today, more than 14 months after the publication of GenInsights21 we’re sharing Key Observation 15 of 22, relating to self-forecasting for Semi-Scheduled units.
On Thursday 17th March, Jonathon Dyson presented at the CEC Wind Industry Forum in Melbourne about the increasing role of auto-bidding and self-forecasting in the modern-day NEM. In this article, he shares some of the key points from that presentation.