Previously, energy managers had to make do with only monthly utility bill data to analyze building energy performance and to summarize historic trends in a buildings energy usage. However, as the cost of collecting interval data has continued to decline, an increasing number of facilities now have access to whole building interval meter data. The question must now be answered as to what can and should be done to make the best use of all this data. Using this whole building interval data along with ambient temperature and a few other pieces of building specific data, a detailed analysis of the buildings static performance as well as trends over time can be made. This paper examines some tools, techniques and limitations in mining this new data stream for maximum value.
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