Notes, milestones, and observations from the work. New entries appear occasionally. The most recent is at the top.
Multiple patent-pending positions are now held across the energy ecosystem, in adaptive control, in the use of forecasts under uncertainty, and in the orchestration of distributed loads and storage.
Internal work on the adaptive carbon-aware control architecture has matured. The shift from forecasting alone toward automated load control is the most significant change of direction for the company since its founding.
The architecture is being developed to integrate with electrical loads and energy management systems, with applications including electric vehicle charging, distributed energy resources, and intelligent load control platforms.
Thanks to everyone who took part in the Summer 2023 pilot. Feedback has been gathered and is informing the roadmap. At the time the goal was to give participants the information they needed to reduce the carbon intensity of their electricity use. The work has since broadened, and the insight gathered in 2023 continues to shape its direction.
We are recruiting participants for the Summer 2023 pilot. The pilot helps participants forecast the carbon intensity of the electricity they consume and make informed choices about timing of use. The pilot will inform refinements to the system and the work that follows.
eForecast was announced as the Irish national winner of ClimateLaunchpad 2022 at the final pitch event at TU Dublin. The competition is part of the Climate-KIC initiative; the judging panel included representatives from PwC, the Sustainable Energy Authority of Ireland (SEAI), and TU Dublin. At the time, the focus was using AI to align electricity consumption with periods of renewable abundance.