Our primary focus at the moment is forecasting of solar photovoltaic (PV) power production, a difficult task. As clouds move over PV panels, the power output moves up and down rapidly. To keep the energy grid in balance, operators need to have readily available generation reserves which usually come from fossil fuel sources.
If we have more accurate predictions of how much electricity a PV installation will produce over the next few hours then we can reduce the amount of fossil fuel reserve required. By making solar energy more predictable, we will make it easier for the grid to absorb more PV generation and for investors to reduce the risk of solar investments. Here is a detailed write-up of what we are doing in Wired magazine: Bad weather forecasts are a climate crisis disaster
. Supported by the European Space Agency, National Grid Electricity System Operator, Google.org and Innovate UK, we are improving how Machine Learning can use satellite images to improve forecasts of PV power generation.
If you would like to trial our Nowcasting service or know more about it, please get in touch.