Abstract: Systems, methods, and mediums use temperature weighting in energy-usage measurements. A method includes identifying a number of days that each of a plurality of different temperatures occurred at a location during a period of time. The method includes identifying a baseline for initial energy usage at a building located in the location. The method includes receiving measurements for energy usage at the building. The method includes generating an expression for measured energy usage as a function of temperature by performing a regression analysis on the measurements for energy usage. The method includes identifying a difference between the baseline for initial energy usage and the expression for measured energy usage. The method includes generating a weighting for the difference between baseline energy usage and the measured energy usage at one or more temperatures based on the number of days the one or more temperatures occurred during the period of time.

Abstract: Systems, methods, and mediums use temperature weighting in energy-usage measurements. A method includes identifying a number of days that each of a plurality of different temperatures occurred at a location during a period of time. The method includes identifying a baseline for initial energy usage at a building located in the location. The method includes receiving measurements for energy usage at the building. The method includes generating an expression for measured energy usage as a function of temperature by performing a regression analysis on the measurements for energy usage. The method includes identifying a difference between the baseline for initial energy usage and the expression for measured energy usage. The method includes generating a weighting for the difference between baseline energy usage and the measured energy usage at one or more temperatures based on the number of days the one or more temperatures occurred during the period of time.

Abstract: Systems, methods, and mediums generate an energy usage baseline. A method includes receiving historical energy usage data for a building. The method includes identifying a historical energy usage baseline as a function of temperature based on the historical energy usage data. The method includes receiving measurements for current energy usage for the building to form a set of energy usage measurements. The method includes associating the set of energy usage measurements with values for temperature for an area where the building is located. The method includes generating a correction factor for the historical energy usage baseline based on a comparison of the set of energy usage measurements with a portion of the historical energy usage baseline corresponding to the values for temperature associated with the set of energy usage measurements. The method includes generating an adjusted energy usage baseline by applying the correction factor to the historical energy usage baseline.

Abstract: A shared interface to a non-volatile memory including a first storage area for BIOS and a second storage area (e.g., for multimedia data) provides an integrated configuration which saves the cost and space of duplicating memory elements to support multiple data and program types in personal computers. The BIOS information is shadowed from the non-volatile memory to a second memory (e.g., a PC main memory). Thereafter, the BIOS information is accessed in the second memory and the information of the second storage area is accessed via the shared interface. The storage may be integrated upon personal computer system boards without a degradation in performance or an increase in pin count of the board memory because the same pins are used at different times for different memory portions. Accordingly, a storage system is provided to meet the demands of increasing storage requirements without a corresponding increase in cost, space or performance.