TY - JOUR KW - Energy efficiency KW - Load Management KW - Demand response KW - Energy management KW - Demand response and distributed energy resources center KW - Demand Response Research Center (DRRC) KW - Data visualization KW - Demand forecasting KW - Load assessment & demand response control strategies KW - Load assessment & shed strategies KW - Regression analysis AU - Johanna L Mathieu AU - Phillip N Price AU - Sila Kiliccote AU - Mary Ann Piette AB -

We present methods for analyzing commercial and industrial facility 15-minute-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.

BT - IEEE Transactions on Smart Grid C2 - LBNL-4944E DA - 09/2011 DO - 10.1109/TSG.2011.2145010 IS - 3 N2 -

We present methods for analyzing commercial and industrial facility 15-minute-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.

PY - 2011 SP - 507 EP - 518 T2 - IEEE Transactions on Smart Grid TI - Quantifying Changes in Building Electricity Use, with Application to Demand Response VL - 2 ER -