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    t0-beta launches as a 256-million-parameter time-series forecasting model

    The Forecasting Company says t0-beta ranks in the top three on GiftEval and FevBench and natively handles historical and known future variables.

    Geoffrey NégiarGN
    1 Source, 20d ago, first seen 20d ago

    TLDR

    The Forecasting Company announced t0-beta, claiming improvements over June’s t0-alpha on single-variable data and in handling additional variables. It says the new model ranks in the top three on GiftEval and FevBench. The company also reports working with Macrocosm on an independent two-year backtest of ERCOT day-ahead market trading, where its models placed second and third. The announcement cites a P&L of +$15 million from trading 100 MW every hour in that backtest—not live trading.

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    1 Source, first seen 20d ago

    Combined views

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    1 Source, first seen 20d ago

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    1 Source

    Geoffrey Négiar@geoffnegiar@forecastingco is releasing t0-beta, our best model so far. Read our blog post and tech report in the link! https://www.theforecastingcompany.com/blog/t0-beta/ t0-beta is top 3 on #GiftEval and #FevBench - the main benchmarks for time series #forecasting. It is a 256M parameter model, and can natively handle historical and future known variables. t0-beta improves significantly on our model t0-alpha released in June in every way! Better on univariate data, better at handling covariates. Additionally, since we've been having a lot of interest from the energy community, we worked with http://Macrocosm.group to run an independent benchmark and found our models to be 2nd and 3rd best on a 2 year backtest of trading on ERCOT in the day ahead market, with a P&L of +$15M, by trading 100MW every hour. Try the model out on your data and tell us what you think!20d

    1 Source

    Geoffrey Négiar@geoffnegiar@forecastingco is releasing t0-beta, our best model so far. Read our blog post and tech report in the link! https://www.theforecastingcompany.com/blog/t0-beta/ t0-beta is top 3 on #GiftEval and #FevBench - the main benchmarks for time series #forecasting. It is a 256M parameter model, and can natively handle historical and future known variables. t0-beta improves significantly on our model t0-alpha released in June in every way! Better on univariate data, better at handling covariates. Additionally, since we've been having a lot of interest from the energy community, we worked with http://Macrocosm.group to run an independent benchmark and found our models to be 2nd and 3rd best on a 2 year backtest of trading on ERCOT in the day ahead market, with a P&L of +$15M, by trading 100MW every hour. Try the model out on your data and tell us what you think!20d