We use machine learning to accurately forecast electricity prices. This saves our customers, including major utility companies, millions of dollars a year in costs.
I'm Thomas, the maker! I've been building wind generation forecasts for the past five years, and I'm building inBalance with a team of quantitative traders and electricity market analysts that I've been close with since my time at University of Cambridge in England and Johns Hopkins in Baltimore. We provide next day and same day electricity price forecasts to some key utility trading desks, and we also identify the factors influencing our model on a daily basis. We generate in-house wind, solar, and load forecasts that support our pricing model, and many of the utilities we work with subscribe to these forecasts as well.
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