HANDFUL project energy data

This dataset contains high-granularity measurements recorded using 10 IoT electricity meters regarding machines such as ovens, mixers, and packaging modules. This open dataset can be utilized by any interested researcher as an industrial high-granularity electricity consumption experimentation dataset to build and train models for different tasks, such as anomaly detection, Nonintrusive load monitoring (NILM), demand forecasting, and energy savings. The dataset was a result of the HANDFUL project pilot, which was funded under the EARASHI 1st open call (Grant agreement: 101069994). HANDFUL project flyer: https://earashi.eu/wp-content/uploads/2024/03/HANDFUL-2.pdf HANDFUL project website: https://earashi.eu/plegma-labs-hajos-bakery/