A multi-output LSTM-CNN learning scheme for power disaggregation within a NILM framework
Y Belguermi, P Wira, G Hermann - 2023 IEEE 21st International …, 2023 - ieeexplore.ieee.org
The non-deterministic home appliances' behaviour makes aggregated power consumption
hard to be explored and to identify individual appliances' consumption (disaggregation) in …
hard to be explored and to identify individual appliances' consumption (disaggregation) in …
Short term net load forecasting using computational intelligence techniques
IH Laouali, N Italiano, Â Casaleiro, I Alvite, NP da Silva - 2023 - IET
Net load forecasting has become increasingly complex due to the high penetration of
renewables and evolving data subject to so-called concept drift, ie, sudden and large …
renewables and evolving data subject to so-called concept drift, ie, sudden and large …