Quantifying Changes in Building Electric Load, With Application to Demand Response
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| Authors | J. Mathieu, P. Price, S. Kiliccote, M. Piette |
| Journal/Conference Name | I |
| Paper Category | Computer Science (miscellaneous) |
| Paper Abstract | We present methods for analyzing commercial and industrial facility 15-min-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to “ask the right questions” to discover opportunities for demand response, energy efficiency, electricity waste elimination, and peak load management. We primarily focus on demand response. Methods discussed include graphical representations of electric load data, a regression-based electricity load model that uses a time-of-week indicator variable and a piecewise linear and continuous outdoor air temperature dependence and the definition of various parameters that characterize facility electricity loads and demand response behavior. In the future, these methods could be translated into easy-to-use tools for building managers. |
| Date of publication | 2011 |
| Code Programming Language | Python |
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