Significant progress has been achieved in managing energy consumption in the residential
sector in recent years. However, the industrial sector requires better coverage due to its …

Deploying energy disaggregation models in the real-world is a challenging task. These
models are usually deep neural networks and can be costly when running on a server or …

Non-intrusive load monitoring is a blind source separation task that has been attracting
significant interest from researchers working in the field of energy informatics. However …

The need for a more energy-efficient future is now more evident than ever. Energy
disagreggation (NILM) methodologies have been proposed as an effective solution for the …

Non-intrusive load monitoring (NILM) is the practice of estimating power consumption of a
single household appliance using data from a total power meter of the user's house. The …

Non-intrusive load monitoring (NILM) provides insights into how much energy consumers
are consuming, encouraging them to make energy-saving changes. Load forecasting, on the …

Residential households contribute significantly to the overall energy consumption in
developed countries. To reduce their energy consumption, they need solutions that help …

Energy disaggregation is a technology that disassembles the energy consumption from the
entire house into load-level contributions. One of the foundational tasks for this technology is …

The increasing penetration of distributed renewable energy sources and the adoption of
new power-intensive appliances, such as electric vehicles and heat pumps, poses …

The goal of water disaggregation is to specify the consumption of the individual water
fixtures using only the aggregate consumption measurements of a single house meter. This …