Abstract: A system for purchasing and selling power that fairly accommodates sellers and buyers. For instance, a submarket may be formed between a utility company or retailer and its consumer or customer. The utility or retailer may eliminate differences between generated or purchased power and demanded power. Mechanisms used for elimination of power differences may incorporate utilizing power from ancillary services, purchasing or selling power on the spot market, and affecting a demand for power with demand response programs. A difference between purchased power and demanded power may be minimized by forming an optimal power stack having a mix of power of the demand response program, power at the spot market and/or power of ancillary services. An optimization sequence may be implemented to minimize the difference between the purchased power and demanded power, and to maximize profit.

Abstract: Devices, methods, and systems for data-driven acceleration of deployed services are described herein. One system includes a database configured to store a plurality of case pairs that correspond to previously calculated models, wherein the previously calculated models are based on a number of features, and wherein each of the plurality of case pairs comprise a first value representative of the number of features and a second value representative of deployed heating, ventilation, and air conditioning (HVAC) resources, a ranking engine configured to rank each of the plurality of case pairs based on a performance of the deployed services, and a deployment engine configured to: receive actual feature values, and deploy HVAC resources based on a comparison between the actual feature values and the plurality of ranked case pairs.

Abstract: Methods, computer readable media, and systems for maintaining an attribute of a building are described herein. One method includes monitoring an attribute of a building, predicting a behavior of the attribute based on a weather forecast, and adjusting the attribute to maintain the attribute within a comfort range relative to a set point for the attribute during a time period based on the predicted behavior.

Abstract: A method includes aggregating multiple zones of an indoor structure, each zone having associated comfort limits, formulating an aggregated single zone model predictive control (MPC) problem representative of the multiple zones for a heating ventilation and air conditioning (HVAC) system, determining optimal aggregated actions as a function of the aggregated single zone model predictive control problem, simulating an optimal trajectory of indoor qualities, and determining zone temperature setpoints to comply with the comfort limits for each zone and pre-cool the indoor structure.

Abstract: A method of structured event log data entry. A structured event log data entry algorithm is provided including a text parser which utilizes stored information including a vocabulary for a human operated process defining classes representing structured information including structured events and structured devices, linguistic patterns for plain text analysis, and relationships between the classes. A pattern proposer utilizes stored linking relations establishing links between the classes and the linguistic patterns. An operator in the system records a plain text event log entry describing an event that occurred in the system into a memory accessible by a processor implementing the algorithm. The text parser implements automatic pattern evaluating the log entry for a matching of any portion of any of the linguistic patterns. The pattern proposer presents a proposed structured event log entry including a structured event and/or structured device for the operator to review whenever the matching is successful.

Abstract: A supervisory controller for heating, ventilation, and air conditioning (HVAC) systems is described herein. One device includes a data management module configured to receive a zone demand signal from a local controller of a zone of an HVAC system and receive a number of additional signals from a number of sensors, and a parameter identification module configured to determine, based on the zone demand signal, whether the zone is in a comfort state by loading a best model structure from a number of models and identifying parameters of the best model structure based on data received from the data management module.

Abstract: A virtual sub-metering process using combined classifiers includes generating an electric power consumption signature database by receiving data from an electric power consumption measuring meter and auxiliary data from a building management system, and clustering the data. After the generation of the electric power consumption signature database, additional data from the electric power consumption measuring meter and the auxiliary data from the building management system is received, and this additional data is processed to generate a second steady-state load classification component. A second transient state component is extracted from the additional data.

Abstract: Identifying models of dynamic systems is described herein. One method for identifying a model of a dynamic system includes estimating a number of parameters for each of a number of models of the dynamic system, predicting an output using the estimated number of parameters for each of the number of models, calculating a rate of error of the predicted output for each of the number of models compared to an observed output, and identifying a best model among the number of models of the dynamic system based on the calculated rate of errors.

Abstract: A system for purchasing and selling power that fairly accommodates sellers and buyers. For instance, a submarket may be formed between a utility company or retailer and its consumer or customer. The utility or retailer may eliminate differences between generated or purchased power and demanded power. Mechanisms used for elimination of power differences may incorporate utilizing power from ancillary services, purchasing or selling power on the spot market, and affecting a demand for power with demand response programs. A difference between purchased power and demanded power may be minimized by forming an optimal power stack having a mix of power of the demand response program, power at the spot market and/or power of ancillary services. An optimization sequence may be implemented to minimize the difference between the purchased power and demanded power, and to maximize profit.

Abstract: Tuning model structures of dynamic systems are described herein. One method for tuning model structures of a dynamic system includes predicting a variable for each of a number of models associated with a number of model structures of a dynamic system, calculating a rate of error of the predicted variable for each of the number of models compared to an observed variable, determining a best model structure among the number of model structures based on the calculated rate of error, and creating a revised model structure using the best model structure to tune the number of model structures of the dynamic system.

Abstract: A thermal control system for a building is disclosed, which includes a regression model: Given a forecast temperature outside the building, the regression model predicts how much an HVAC system will cost to run during a day, for a given set of time-varying target temperatures for all the thermostats in the thermal control system. The thermal control system may also include an optimizer, which invokes multiple applications of the regression model. Given a forecast temperature outside the building, the optimizer predicts an optimal set of time-varying target temperatures for all the thermostats in the thermal control system. Running the HVAC system with the optimal set of time-varying target temperatures should have a reduced or a minimized cost, or a reduced or minimized total energy usage. The optimizer works by running the regression model repeatedly, while adjusting the time-varying target temperature for each thermostat between runs of the model.

Abstract: A system that transforms information into fuzzy observable states. These states may be matched against a mapping table which indicates which observable state admits or excludes particular faults. This information may be processed over time when in each time instant the admitted or excluded faults are used for updating the rate for each fault.

Abstract: A virtual sub-metering process using combined classifiers includes generating an electric power consumption signature database by receiving data from an electric power consumption measuring meter and auxiliary data from a building management system, and clustering the data. After the generation of the electric power consumption signature database, additional data from the electric power consumption measuring meter and the auxiliary data from the building management system is received, and this additional data is processed to generate a second steady-state load classification component. A second transient state component is extracted from the additional data.

Abstract: A system that transforms information into fuzzy observable states. These states may be matched against a mapping table which indicates which observable state admits or excludes particular faults. This information may be processed over time when in each time instant the admitted or excluded faults are used for updating the rate for each fault.