Abstract: A method for performing validation, estimation, and editing (VEE), including: displaying real-time electrical usage for a building on a controllable video display; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising groups of contiguous interval values tagged as having been validated and corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the streams; and executing functions on the streams translated by the generating and directing the controllab

Abstract: A method for performing validation, estimation, and editing (VEE), including: employing HVAC subsystems to adjust comfort in a building; performing VEE on energy consumption streams; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising groups of contiguous interval values tagged corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the first groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the streams; and executing functions on the streams translated by the generating and directing one or more of the

Abstract: A method for performing validation, estimation, and editing (VEE), including: displaying real-time electrical usage for a building on a controllable video display; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited, the first groups of contiguous interval values corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the first groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for t

Abstract: A method for performing validation, estimation, and editing (VEE), including: employing HVAC subsystems to adjust comfort in a building; performing VEE on energy consumption streams; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited, the first groups of contiguous interval values corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the first groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy con

Abstract: An apparatus for prioritizing a demand response program event based on occupancy for one or more buildings of one or more building types participating in a demand response program is provided. The apparatus has an occupancy estimator and a dispatch controller. The occupancy estimator is configured to receive energy consumption and outside temperature streams corresponding to a portion of the one or more buildings, and is configured to employ occupancy components for each of the one or more buildings within the portion to process the streams, and is configured to generate occupancy levels corresponding to the one or more buildings within the portion, where the occupancy components and the occupancy levels are generated by exclusively processing the streams, and is configured to assign the occupancy levels to remaining ones of the one or more buildings not in the first portion.

Abstract: An occupancy-based traffic control system for augmenting traffic control mechanisms corresponding to buildings of one or more building types within a geographic subsector is provided. The system includes, a subsector aggregator, an other facility occupancy estimator, and a subsector processor. The subsector aggregator receives energy consumption and outside temperature streams corresponding to a portion of the buildings, and employs occupancy components to generate average occupancy components corresponding to each building type. The other facility occupancy estimator matches the average occupancy components to remaining ones of the buildings not in the first portion according to building type. The subsector processor uses the first and second aggregated occupancy components modify defaults of traffic control devices based on the occupancy estimate to optimize flow of automotive vehicles.

Abstract: An occupancy-based traffic control system for augmenting traffic control mechanisms corresponding to buildings of one or more building types within a geographic subsector is provided. The system includes, a subsector aggregator, an other facility occupancy estimator, and a subsector processor. The subsector aggregator receives energy consumption and outside temperature streams corresponding to a portion of the buildings, and employs occupancy components to generate average occupancy components corresponding to each building type. The other facility occupancy estimator matches the average occupancy components to remaining ones of the buildings not in the first portion according to building type. The subsector processor uses the first and second aggregated occupancy components modify defaults of traffic control devices based on the occupancy estimate to optimize flow of pedestrians.

Abstract: A control system that performs VEE on consumption streams, including: data stores that provides data sets, each of the data sets comprising groups of contiguous values that correspond to correct data; a rules processor that reads the data stores and, for the each of the data sets, that creates anomalies having different durations using only the groups of contiguous values, that generates estimates for the anomalies by employing estimation techniques for each of the different durations and, for the each of the different durations, that selects a corresponding one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data associated with the each of the different durations for the corresponding one of the consumption streams; a peak prediction element that estimates future cumulative energy consumption and that predicts a brown out time; and a peak controller that triggers exceptional measures to manage the cumulative energy consumption in order to preclude

Abstract: A control system that performs VEE on consumption streams, including: data stores that provides data sets, each of the data sets comprising groups of contiguous values that correspond to correct data; a rules processor that reads the data stores and, for the each of the data sets, that creates anomalies having different durations using only the groups of contiguous values, that generates estimates for the anomalies by employing estimation techniques for each of the different durations and, for the each of the different durations, that selects a corresponding one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data associated with the each of the different durations for the corresponding one of the consumption streams; a peak prediction element that estimates future cumulative energy consumption and that predicts a brown out time; and a peak controller that triggers exceptional measures to manage the cumulative energy consumption in order to preclude

Abstract: An apparatus is provided for configuring validation, estimation, and editing (VEE) rules for performing VEE on a plurality of interval based energy consumption streams. The apparatus includes a network operations center, configured to receive the plurality of interval based energy consumption streams and is configured to perform VEE on the plurality of interval based energy consumption streams within a specified time period. The network operations center has a post VEE readings data stores and a rules processor. The post VEE readings data stores is configured to provide a plurality of tagged energy consumption data sets that are each associated with a corresponding one of the plurality of interval based energy consumption streams, each of the plurality of tagged energy consumption data sets including first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited.

Abstract: An apparatus for controlling facility resource consumption includes devices, a network operations center (NOC), and control nodes. The devices each consume a portion of the resource and perform a function. The NOC generates schedules which coordinate run times for the devices to control the consumption of the resource and adjusts the schedules based upon occupancy components and occupancy levels that are generated based on the consumption of the resource and outside temperature only. The control nodes are coupled to a corresponding one of the devices, and are coupled together via an energy management network that is operatively coupled to the NOC, The control nodes transmit sensor data and device status to the NOC for generation of the plurality of run time schedules, and where the control nodes execute selected ones of the run time schedules to cycle the devices on and off.

Abstract: An apparatus for controlling consumption of a resource by a facility includes devices, an occupancy determination system, and control nodes. The devices each consume a portion of the resource and perform a function. The occupancy determination system is disposed in a network operations center that is external to the facility and generates schedules which coordinate run times for the devices to control the consumption of the resource and adjusts the schedules based upon occupancy components and occupancy levels that are generated based on the consumption of the resource and outside temperature only. The control nodes are coupled to a corresponding one of the devices, and are coupled together via an energy management network that is operatively coupled to the NOC, The control nodes transmit sensor data and device status to the NOC for generation of the plurality of run time schedules, and where the control nodes execute selected ones of the run time schedules to cycle the devices on and off.

Abstract: An apparatus for controlling consumption of a resource by a facility includes devices, an occupancy determination system, control nodes, and monitor nodes. The devices each consume a portion of the resource and perform a function. The occupancy determination system is disposed in a network operations center that is external to the facility and generates schedules which coordinate run times for the devices to control the consumption of the resource and adjusts the schedules based upon occupancy components and occupancy levels that are generated based on the consumption of the resource and outside temperature only. The control nodes are coupled to a corresponding one of the devices, and are coupled together via an energy management network that is operatively coupled to the NOC, The control nodes transmit sensor data and device status to the NOC for generation of the plurality of run time schedules, and where the control nodes execute selected ones of the run time schedules to cycle the devices on and off.

Abstract: An apparatus for controlling consumption of a resource by a facility includes devices, a network operations center (NOC), and control nodes. The devices each consume a portion of the resource and perform a function. The NOC generates schedules which coordinate run times for the devices to control the consumption of the resource and adjusts the schedules based upon occupancy components and occupancy levels that are generated based on the consumption of the resource and outside temperature only. The control nodes are coupled to a corresponding one of the devices, and are coupled together via an energy management network that is operatively coupled to the NOC, The control nodes transmit sensor data and device status to the NOC for generation of the plurality of run time schedules, and where the control nodes execute selected ones of the run time schedules to cycle the devices on and off.

Abstract: An apparatus is provided for performing validation, estimation, and editing (VEE) on a plurality of interval based energy consumption streams. The apparatus has a network operations center, configured to receive the plurality of interval based energy consumption streams, and configured to perform VEE on the plurality of interval based energy consumption streams within a specified time period. The network operations center includes a VEE processor and a VEE configuration engine.

Abstract: A method for demand response dispatch having validation, estimation, and editing (VEE) rules for performing VEE on interval-based energy consumption streams, includes providing tagged energy consumption data sets having groups of contiguous interval values that correspond to correct data; for the each of the tagged energy consumption data sets, creating anomalies having different durations using only the groups; generating estimates for the anomalies by employing estimation techniques; selecting a corresponding one of the estimation techniques for subsequent employment; receiving post VEE readings and forecasted outside temperatures and estimating future cumulative energy consumption of facilities, and predicting a reception time for a demand response program event when the cumulative energy consumption exceeds a specified threshold; and preparing actions to control each of the facilities to optimally shed energy specified in a dispatch order, and optimally shedding the energy upon reception of the dispatch o

Abstract: A method for demand response dispatch having validation, estimation, and editing (VEE) rules for performing VEE on interval-based energy consumption streams, includes providing tagged energy consumption data sets having groups of contiguous interval values that correspond to correct data; for the each of the tagged energy consumption data sets, creating anomalies having different durations using only the groups; generating estimates for the anomalies by employing estimation techniques; selecting a corresponding one of the estimation techniques for subsequent employment; receiving post VEE readings and forecasted outside temperatures and estimating future cumulative energy consumption of facilities, and predicting a reception time for a demand response program event when the cumulative energy consumption exceeds a specified threshold; and preparing actions to control each of the facilities to optimally shed energy specified in a dispatch order, and optimally shedding the energy upon reception of the dispatch o

Abstract: An energy control system includes training data stores, a facility model processor, a post VEE readings data stores, a VEE configuration engine, and a global model module. The facility model processor employs interval based energy consumption streams corresponding to a facility to develop and maintain weather-normalized baseline energy consumption data for the facility. The post VEE readings data stores tagged energy consumption data sets that are each associated with a corresponding one of said interval based energy consumption streams, each of said tagged energy consumption data sets comprising groups of contiguous interval values tagged as having been validated, wherein said groups correspond to correct data.

Abstract: An energy control system includes a facility model processor, a post VEE readings data stores, a VEE configuration engine, and a global model module. The facility model processor employs interval based energy consumption streams corresponding to a facility to develop and maintain weather-normalized baseline energy consumption data for the facility. The post VEE readings data stores tagged energy consumption data sets that are each associated with a corresponding one of said interval based energy consumption streams, each of said tagged energy consumption data sets comprising groups of contiguous interval values tagged as having been validated, wherein said groups correspond to correct data.

Abstract: An occupancy based traffic control system for augmenting traffic control mechanisms corresponding to one or more buildings of one or more building types within a geographic subsector is provided. The system includes, a subsector aggregator, an other facility occupancy estimator, and a subsector processor. The subsector aggregator receives energy consumption and outside temperature streams corresponding to a portion of the one or more buildings, and employs occupancy components to generate average occupancy components corresponding to each building type. The other facility occupancy estimator matches the average occupancy components to remaining ones of the one or more buildings not in the first portion according to building type. The subsector processor uses the first and second aggregated occupancy components modify defaults of traffic control devices based on the occupancy estimate to optimize flow of pedestrians and automotive vehicles.