Energy forecasting models within the Department of the Navy
dc.contributor.advisor | Liao, S.S. | |
dc.contributor.author | Buttolph, Leslie W. | |
dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
dc.contributor.department | Management | |
dc.contributor.school | Naval Postgraduate School | |
dc.contributor.secondreader | Larson, H. | |
dc.date.accessioned | 2012-11-20T00:07:24Z | |
dc.date.available | 2012-11-20T00:07:24Z | |
dc.date.issued | 1982-06 | |
dc.description.abstract | Executive Order 12003 requires that all federal activities reduce their energy consumption by 20% from fiscal year 1975 use by fiscal year 1985. The Defense Energy Information System for shore activities (DEIS II) provides a system of measuring, reporting, and comparing energy use levels in pursuit of that goal. | en_US |
dc.description.distributionstatement | Approved for public release; distribution is unlimited. | |
dc.description.service | Lieutenant Commander, United States Navy | en_US |
dc.description.uri | http://archive.org/details/energyforecastin1094520146 | |
dc.identifier.uri | https://hdl.handle.net/10945/20146 | |
dc.language.iso | en_US | |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.subject.author | Regression | en_US |
dc.subject.author | Time-series | en_US |
dc.subject.author | Electricity Use | en_US |
dc.subject.author | MBTU/SF | en_US |
dc.subject.author | Energy Use | en_US |
dc.subject.author | Forecasting | en_US |
dc.subject.author | Forecast Models | en_US |
dc.subject.author | Defense Energy Information System | en_US |
dc.subject.lcsh | Management | en_US |
dc.title | Energy forecasting models within the Department of the Navy | en_US |
dc.type | Thesis | en_US |
dspace.entity.type | Publication | |
etd.thesisdegree.discipline | Management | en_US |
etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
etd.thesisdegree.level | Masters | en_US |
etd.thesisdegree.name | M.S. in Management | en_US |
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