초록 ▼

A system for estimating energy cost savings during curtailment periods, for example, determines an estimated temperature in the zone during the period of interest as if the thermostat were set at a temperature different than the actual set point temperature. By determining a difference in the estima

A system for estimating energy cost savings during curtailment periods, for example, determines an estimated temperature in the zone during the period of interest as if the thermostat were set at a temperature different than the actual set point temperature. By determining a difference in the estimated temperature in the zone and the actual temperature over time, the amount of energy savings can be estimated. Applying real time energy cost data to the estimated energy savings provides a real time estimation of actual cost savings during a selected period. The inventive estimation technique includes determining an equilibrium condition for the zone as part of the estimation process.

대표청구항 ▼

A system for estimating energy cost savings during curtailment periods, for example, determines an estimated temperature in the zone during the period of interest as if the thermostat were set at a temperature different than the actual set point temperature. By determining a difference in the estima

A system for estimating energy cost savings during curtailment periods, for example, determines an estimated temperature in the zone during the period of interest as if the thermostat were set at a temperature different than the actual set point temperature. By determining a difference in the estimated temperature in the zone and the actual temperature over time, the amount of energy savings can be estimated. Applying real time energy cost data to the estimated energy savings provides a real time estimation of actual cost savings during a selected period. The inventive estimation technique includes determining an equilibrium condition for the zone as part of the estimation process. m of claim 1, further comprising: detecting circuitry, coupled to the acoustic sensor, for determining the absence or presence of selected heart sounds; and wherein the processor is programmed to detect relative changes in the absence or presence of selected heart sounds. 7. The system of claim 1, further comprising: amplitude detecting circuitry, coupled to the acoustic sensor, for determining the amplitude of selected heart sounds; and wherein the processor is programmed to detect relative changes in the amplitude of selected heart sounds. 8. The system of claim 1, further comprising: a pulse generator for generating stimulation pulse therapy; and wherein the processor is programmed to adjust the stimulation pulse therapy in response to the relative changes in the at least one heart sound to improve hemodynamics. 9. The system of claim 1, wherein the processor is programmed to determine the relative changes in the at least one heart sound during a predetermined time period each day. 10. The system of claim 1, further comprising: an activity detector that detects activity of the patient; and wherein the processor determines the relative changes in the at least one heart sound while the patient is inactive. 11. The system of claim 1, wherein the processor is further programmed to average the relative changes in the at least one heart sound over a predetermined period of time. 12. The system of claim 6, further comprising: a memory that stores the relative changes in the at least one heart sound;and a telemetry circuit that transmits the relative changes in the at least one heart sound to an external receiver. 13. In an implantable cardiac stimulation device, a system for monitoring a progression and regression of a patient's heart disease, the system comprising; sensing means for providing an electrogram signal representing electrical activity of a patient's heart; sound sensing means for providing a heart sound signal of the patient's heart; and determining means for determining relative changes in at least one heart sound, and to provide information related to the relative changes indicating whether there is progression or regression in the patient's heart disease, wherein the determining means comprises time span determining means for determining time spans between selected heart sounds in the heart sound signal and selected features in the electrogram signal, wherein the determining means further comprises means for detecting a progression of heart disease based on relative changes in the time spans between selected heart sounds in the heart sound signal and selected features in the electrogram signal. 14. The system of claim 13, wherein the determining means comprises: time span determining means for determining time spans between selected heart sounds in the heart sound signal and selected features in the electrogram signal, relative changes in the time spans over time indicating whether there is a progression or regression in the patient's heart disease. 15. The system of claim 14, wherein the time spans are time spans between each R wave and a first heart sound following a respective R wave for each sensed cardiac cycle of the patient's heart. 16. The system of claim 13, wherein the determining means comprises: time span determining means for determining time spans between selected ones of the heart sounds, wherein relative changes in the time spans over time indicates whether there is a progression or regression in the heart disease. 17. The system of claim 16, wherein the time spans comprise time spans between a first heart sound and a second heart sound following the first heart sound for each sensed cardiac cycle of the patient's heart. 18. The system of claim 14, wherein the time span determining means determines the time spans for cardiac cycles of the patient's heart sensed during a fixed time period each day. 19. The system of claim 14, further comprising: activ