Linton is a Senior Software Engineer and Market Analyst, who joined Global-Roam in August 2020.
Before joining the company, Linton worked at the Australian Energy Market Operator (AEMO) for seven years, including four years as an analyst within their demand forecasting team. Before entering the energy sector, he worked as an air quality scientist in the Czech Republic.
Theoretically, if a self-forecasting system never offers forecasts for more than 60% of intervals it may perpetually skip the performance assessment and the system could continue for use unsuppressed.
Taking a guess at frequency need to earn a positive causer-pays factor through self-forecast biasing appears at-best uncertain in the intervals we review.
In another style of biasing a self-forecast, "lunar megawatts" represent an expectation of solar farm generation at night when it really should be zero.
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.
In this article we delve into the indicators we can uncover which point to the increase in market interventions and generator directions over recent years.
We thank the Clean Energy Council for the opportunity to share insights into revenue trends, cost trends, and analysis of upcoming changes for units operating in the NEM.
The notice informs us that an update to the Yass overload trip scheme means it is now managing flows on lines 990, 991 and 970 132kV in both directions.
The introduction of frequency performance payments in 2025 changes how costs of regulating frequency are quantified and allocated. This article inspects historical trends in regulation FCAS enablement levels and prices.