Introducing
Gyan
Discover Gyan
Gyan revolutionizes price forecasting in the National Energy Market and Wholesale Electricity Market with cutting-edge machine learning and AI-driven techniques. Gyan delivers unparalleled accuracy in predicting electricity prices, empowering energy participants with reliable insights to optimize their strategies and navigate market complexities with confidence.
Accurate Price Forecasting
Our simulations demonstrate that Gyan's price forecasting outperforms AEMO's pre-dispatch price signals, enabling asset revenues to increase by approximately 30%, optimizing market participation and profitability.
Seamless Integration
Access Gyan's capabilities seamlessly through robust APIs that integrate effortlessly into your workflows, providing smooth access to powerful forecasting capabilities.
Customizable Solutions
Gyan predicts both energy and ancillary market prices with precision, offering 5-minute and 30-minute forecasts. Unlock deeper insights with Gyan's advanced forecasting models, providing not only price predictions but also the probabilistic data needed to optimize risk management and strategic planning.
Why Choose Gyan?
In the National Electricity Market (NEM), most bidding strategies rely heavily on AEMO’s pre-dispatch price signals. Traders and automated bidding algorithms typically use these signals to adjust their bids in an attempt to maximize revenue. However, this widespread reliance on AEMO’s price signals creates a feedback loop: as generators react to the same signals, the resulting market dynamics often render these signals less accurate and less effective for precise revenue optimization.
This is where Gyan stands out.
Gyan leverages advanced machine learning algorithms to predict market prices with greater accuracy by incorporating a diverse range of factors. Unlike traditional approaches that depend primarily on AEMO’s pre-dispatch signals, Gyan’s forecasts consider critical variables such as network conditions, weather patterns, power flows, and generator bidding behaviors. This holistic approach ensures that Gyan’s predictions are not only independent of AEMO’s price signals but also more reflective of actual market conditions.
By providing robust and reliable price forecasts, Gyan enables traders and algorithms to make smarter bidding decisions, ultimately driving better market outcomes and maximizing asset revenues.
AEMO Price Signals vs. Actual Prices: A Case for Better Forecasting.
Analysis of AEMO’s pre-dispatch (PD) price signals compared to actual market prices over the past year reveals significant deviations. A graph showcasing this disparity highlights the inherent limitations of relying solely on PD signals for bidding strategies.
If actual prices had been used instead of PD signals within the same timeframe, the revenue for an asset of similar size, using the same optimization logic, could have been 50% higher. This underscores the critical need for more accurate and reliable price forecasting—precisely what Gyan delivers, empowering participants to bridge the gap and maximize their market outcomes.Predicting the Unpredictable with Gyan.
Gyan goes beyond standard forecasting by offering the capability to anticipate unforeseen events that could significantly impact market prices. Using advanced machine learning models, Gyan analyzes complex variables such as sudden weather changes, unexpected generator outages, and shifts in demand patterns. This higher precision in forecasting ensures that traders and algorithms are better equipped to adapt to market disruptions, making Gyan an invaluable tool for staying ahead in a dynamic energy market.
Proven Revenue Boost with Gyan.
A direct revenue comparison between using AEMO’s pre-dispatch price signals and Gyan’s forecasts, applied through the same optimization algorithm, demonstrates Gyan’s superiority. Results show that leveraging Gyan’s advanced forecasts can deliver over 30% improvement in revenue, highlighting its unmatched value for maximizing profitability in the energy market.