Real-Time Itemized Electricity Consumption Intelligence for Military Bases
| Title | Real-Time Itemized Electricity Consumption Intelligence for Military Bases |
| Publication Type | Conference Proceedings |
| Year of Publication | 2018 |
| Authors | Omid Jahromi, Alan K Meier |
| Conference Name | IEEE |
| Keywords | energy conservation, load disaggregation, Machine learning, non-intrusive load monitoring, three-phase pwer |
| Abstract | 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. |
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