Machine Learning-Based Energy Disaggregation Using Fully Connected, Lstm, and Vggnet: A Comparative Study on Appliance-Level Energy Consumption Analysis

MLA

Muhammad Ahmar Rasool, and Muhammad Usman Hadi. Machine Learning-Based Energy Disaggregation Using Fully Connected, Lstm, and Vggnet: A Comparative Study on Appliance-Level Energy Consumption Analysis. Jan. 2023. EBSCOhost, https://doi.org/10.2139/ssrn.4462302.

APA

Muhammad Ahmar Rasool, & Muhammad Usman Hadi. (2023). Machine Learning-Based Energy Disaggregation Using Fully Connected, Lstm, and Vggnet: A Comparative Study on Appliance-Level Energy Consumption Analysis. https://doi.org/10.2139/ssrn.4462302

Chicago

Muhammad Ahmar Rasool, and Muhammad Usman Hadi. 2023. “Machine Learning-Based Energy Disaggregation Using Fully Connected, Lstm, and Vggnet: A Comparative Study on Appliance-Level Energy Consumption Analysis,” January. doi:10.2139/ssrn.4462302.