Self-forecasting in Australia’s Nationwide Electrical energy Market (NEM) permits semi-scheduled turbines the chance to ‘self-forecast’ their electrical energy manufacturing and extra intently meet their dispatch goal. By doing so, they will scale back their publicity to Frequency Management Ancillary Companies (FCAS) ‘Causer Pays’ prices and help grid stability and reliability. The physique content material of your submit goes right here. To edit this textual content, click on on it and delete this default textual content and begin typing your personal or paste your personal from a distinct supply.
On this webinar, you may have interaction with a panel of business consultants who will talk about self-forecasting within the NEM in mild of a groundbreaking
AI-driven short-term forecasting trial by Utopus Insights
at Infigen Power’s Lake Bonney 2 and three wind farms in Australia, which
improved forecasting accuracy by greater than 25% in comparison with the Australian Wind Power Forecasting System (AWEFS) forecasts by the Australian Power Market Operator (AEMO).
Audio system:
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Stephanie Easton, Supervisor – Operations Management Centre, Infigen Power
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Jonathon Dyson, Managing Director, Greenview Strategic Consulting
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Shekhar Kamath, Common Supervisor, Enterprise Growth, Utopus Insights
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Hugh McKenzie, Enterprise Supervisor, Aftermarket Upgrades, Asia-Pacific, Vestas (moderator)
When: 3-4 PM AEDT; Wednesday, Feb. 10, 2021
Why Attend:
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Be taught why renewable turbines ought to care about self-forecasting – How the market wants shall be fulfilled utilizing renewables, by injecting certainty to energy forecasts – Get insights on the fashions that Utopus Insights developed to submit self-forecasts, utilized by AEMO for farm dispatches
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Hear straight about Infigen Power’sexperience and learnings through the ARENA pilot; the worth realized via self-forecasting, and the way different operators can derive related advantages
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Perceive tips on how to leverage digital options to attenuate FCAS penalties – implementation and future use circumstances
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Higher perceive short-term energy forecasting’s return on funding potential in your group
Three questions we’ll reply:
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How will self-forecasting lower your expenses for renewable turbines? What’s the potential affect on hybrid initiatives?
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How does self-forecasting affect NEM grid operations?
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What’s the the longer term outlook for short-term forecasting within the NEM and past?
