Forecasting Losses on the Power Grid
When distributing electrity via the power grid, some of the energy will get lost due to physical properties of the materials and mechanisms which make up the grid. The losses depend mainly on the conductors, the current and the distance from power producer to consumer. While analytical models to estimate the incurred power losses exist,
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Forecasting Consumer Offtake for Belgian Energy Suppliers
Forecasting consumer offtake Intrimm takes publicly available synthetic load profiles for consumer electricity offtake estimation and enhances these profiles for several energy suppliers in the Belgian energy market. Firstly, this reduces financial losses for the suppliers due to a decrease in expensive imbalance penalties owed to grid operator. Secondly, these forecasts aid in keeping the
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AI-driven Forecasting for IoT
Adding AI to IoT With the rise of the Internet of Things, an increasing number of small and medium-sized companies are investing in smart metering their energy consumption and production. Intrimm has proven to be successful in accurately predicting this data on a large scale. As smart meters are to be deployed nation wide, we
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