Spatiotemporal lighting load disaggregation using light intensity signal

摘要: Abstract Lighting systems in commercial buildings are major contributors to the electricity consumption while occupants of these usually not aware effect their energy-related behavior on consumption. A non-intrusive load disaggregation approach for lighting office was proposed and evaluated provide high granularity spatiotemporal monitoring. In our approach, we a process artificial light event detection power estimation using intensity signals rooms’ contextual information (i.e. room area number possible states fixtures). Three algorithms: generalized likelihood ratio test, signal-shape driven detection, enhanced naive were evaluated. The algorithm outperformed data collected rooms where natural used conjunction with source. correlation between illuminance associated that level estimation. evaluations (with without light) showed feasibility accurate when sensor is installed closer floor informed by operating fixtures.