SaaS Metrics
Fine-tuned Chronos-2 on 7 years of EIA-930 demand + ASOS temperature for every US balancing authority that publishes a load series — 53 across the three interconnections.On a 2025 hold-out (~61,000 hours), it beats the operators' own day-ahead submissions to EIA — the production forecasts they use to schedule generation — on 6 of 7 major RTOs. Macro MAE ~40% lower. The one loss is ISO-NE, whose forecasting is just very good (24h-ahead MASE 0.34). On the same window, CAISO and SPP operator submissions did worse than "same as yesterday."The site plots the median + 80% PI band against the operator submission, with 48h of actuals running into the forecast.Code, model on HF, operator-comparison benchmark reproduces from one script:- https://github.com/tylergibbs1/surge
- https://huggingface.co/Tylerbry1/surge-fm-v3
Show HN: Open load forecasts that beat US grid operators on 6 of 7 RTOs
A superior open-source alternative to existing US grid operator day-ahead load forecasts, demonstrating significantly lower Macro MAE.
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AI Executive Synthesis
A superior open-source alternative to existing US grid operator day-ahead load forecasts, demonstrating significantly lower Macro MAE.
This project presents a significant disruption to the energy sector's operational forecasting. By outperforming incumbent US grid operators' day-ahead load forecasts, it highlights the potential for advanced machine learning models to optimize critical infrastructure management. The 40% lower Macro MAE translates directly into substantial operational efficiencies, reducing costs associated with over/under-generation, improving grid stability, and enhancing resource allocation. This open-source approach challenges proprietary forecasting models, fostering transparency and potentially accelerating innovation in energy management. The ability to reproduce the benchmark and access the model openly lowers barriers to adoption and validation. This has direct B2B implications for energy traders, utilities, and grid operators seeking more accurate predictive analytics.
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What is Open load forecasts that beat US grid operators on 6 of 7 RTOs?
Open load forecasts that beat US grid operators on 6 of 7 RTOs is analyzed by our AI as: A superior open-source alternative to existing US grid operator day-ahead load forecasts, demonstrating significantly lower Macro MAE.. It focuses on This project presents a significant disruption to the energy sector's operational forecasting. By outperforming incumbent US grid operators' day-ah...
Where did Open load forecasts that beat US grid operators on 6 of 7 RTOs originate?
Data for Open load forecasts that beat US grid operators on 6 of 7 RTOs was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Open load forecasts that beat US grid operators on 6 of 7 RTOs publicly launched?
The initial public indexing or launch date for Open load forecasts that beat US grid operators on 6 of 7 RTOs within our tracked developer communities was recorded on April 20, 2026.
How popular is Open load forecasts that beat US grid operators on 6 of 7 RTOs?
Open load forecasts that beat US grid operators on 6 of 7 RTOs has achieved measurable traction, logging over 2 traction score and facilitating 0 recorded discussions or engagements.
Which technical categories define Open load forecasts that beat US grid operators on 6 of 7 RTOs?
Based on metadata extraction, Open load forecasts that beat US grid operators on 6 of 7 RTOs is categorized under topics such as: Open load forecasts, US grid operators, RTOs, fine-tuned Chronos-2.
What are some commercial alternatives to Open load forecasts that beat US grid operators on 6 of 7 RTOs?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as In Parallel MCP, which offers overlapping value propositions.
How does the creator describe Open load forecasts that beat US grid operators on 6 of 7 RTOs?
The original author or development team describes the product as follows: "Fine-tuned Chronos-2 on 7 years of EIA-930 demand + ASOS temperature for every US balancing authority that publishes a load series — 53 across the three interconnections.On a 2025 hold-out (~61,000..."
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Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
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