|Title||Real-Time Itemized Electricity Consumption Intelligence for Military Bases|
|Publication Type||Conference Proceedings|
|Year of Publication||2018|
|Authors||Omid Jahromi, Alan K Meier|
|Keywords||energy conservation, load disaggregation, Machine learning, non-intrusive load monitoring, three-phase pwer|
This paper outlines the methodology and the interim findings of a NILM demonstration project that Belkin and LBL have been conducting with a grant from the Department of Defense. More detailed findings including accuracy statistics and achieved energy savings will be presented at the workshop.