Abstract: A method of detecting a fault in a device is described. The method comprises receiving an energy consumption signal for the device, the energy consumption signal indicating a varying energy consumption of the device over time during operation of the device. A basis function is selected, the basis function defining a signal pattern associated with a known fault type. A correlation between the basis function and the energy consumption signal is evaluated. Presence of an operating fault in the device is determined in dependence on the correlation, and an output is generated based on the determination.

Abstract: This invention relates, but is not limited to, a method, a device, a computer program product and/or apparatus for performing diagnostics or fault determination of the operation of a boiler. The invention determines the fault status of the boiler by determining cold flow events in the time series output temperature data of the boiler and using the electrical energy data of the boiler in a time window of the cold flow event to determine the fault status based on a model. The invention further comprises a method of obtaining the model.

Abstract: A computer-implemented method of generating predicted energy consumption data for a first energy consumer based on energy consumption data of a plurality of further energy consumers is disclosed. Prediction is based on a set of training samples, each training sample comprising predictor attribute data and energy consumption data for a respective one of the further energy consumers, as well as one or more predictor attribute values for the first energy consumer. A predictive model is generated based on the training samples, the predictive model defining a relationship between values of predictor attributes and energy consumption data of the training samples. Predicted energy consumption data for the first energy consumer is then determined using the predictive model and the predictor attribute values. A method of clustering energy consumption profiles is also disclosed.

Abstract: This invention relates, but is not limited to, a method, a device, a computer program product and/or apparatus for determining the mode of operation of a boiler. The invention determines the mode of operation of a boiler through receiving a time series of electrical energy data of the boiler, determining energy events in the electrical energy data, determining a plurality of parameters of the energy events, and using an obtained model to determining the mode of operating of the boiler based on the obtained model and the plurality of parameters of the energy events. The invention further comprises a method of obtaining the model.

Abstract: In one aspect, there is described a method having: receiving energy consumption data from one or more electricity and/or gas meters associated with a property having one or more devices having larger devices and/or smaller devices; receiving context information data about the property; retrospectively determining, in the received energy consumption data, one or more variations indicative of consumption of the devices; identifying one or more events associated with the devices, based on the determined variations; classifying the identified events into predetermined sub-categories associated with the devices, based on the energy consumption data and the context information data; and associating a proportion of the received energy consumption data to respective predetermined categories associated with the devices, based on the classification in the sub-categories.

Abstract: The present invention relates to environmental control systems. More particularly, the present invention relates to methods and apparatus for monitoring the performance of environmental control systems arranged to control at least one environmental characteristic in an environment.

Abstract: A method of detecting a fault in a device is described. The method comprises receiving an energy consumption signal for the device, the energy consumption signal indicating a varying energy consumption of the device over time during operation of the device. A basis function is selected, the basis function defining a signal pattern associated with a known fault type. A correlation between the basis function and the energy consumption signal is evaluated. Presence of an operating fault in the device is determined in dependence on the correlation, and an output is generated based on the determination.

Abstract: Methods and devices for detecting inefficiencies in environmental control systems and for building a model for detecting the same. The model building method may comprise: receiving training data sets for one or more environmental control systems, identifying a category for each training data set indicative of the efficiency of the environmental control system over the training time period, computing one or more numerical features for each training data set based on setpoint data and sensor data, determining a measure of dependence between the identified category and the computed one or more numerical features, and creating a model based on the determined measure of dependence. The detection method may involve receiving a monitored data set, computing numerical features for the monitored data, and assigning a category indicative of the efficiency of a monitored environmental control system based on the model and the numerical features.

Abstract: The present invention relates to environmental control systems. More particularly, the present invention relates to methods and apparatus for monitoring the performance of environmental control systems arranged to control at least one environmental characteristic in an environment.

Abstract: This invention generally relates to a system for estimating fuel consumption of a boiler in a building and to a method of estimating fuel consumption, in particular for estimating gas consumption. A system is disclosed for estimating fuel consumption of a boiler in a building, the system comprising at least boiler operating model configured to perform said estimating on the basis of at least one ON time of the boiler.

Abstract: In one aspect, there is described a method having: receiving energy consumption data from one or more electricity and/or gas meters associated with a property having one or more devices having larger devices and/or smaller devices; receiving context information data about the property; retrospectively determining, in the received energy consumption data, one or more variations indicative of consumption of the devices; identifying one or more events associated with the devices, based on the determined variations; classifying the identified events into predetermined sub-categories associated with the devices, based on the energy consumption data and the context information data; and associating a proportion of the received energy consumption data to respective predetermined categories associated with the devices, based on the classification in the sub-categories.

Abstract: A computer-implemented method of generating predicted energy consumption data for a first energy consumer based on energy consumption data of a plurality of further energy consumers is disclosed. Prediction is based on a set of training samples, each training sample comprising predictor attribute data and energy consumption data for a respective one of the further energy consumers, as well as one or more predictor attribute values for the first energy consumer. A predictive model is generated based on the training samples, the predictive model defining a relationship between values of predictor attributes and energy consumption data of the training samples. Predicted energy consumption data for the first energy consumer is then determined using the predictive model and the predictor attribute values. A method of clustering energy consumption profiles is also disclosed.

Abstract: A system to provide feedback for energy saving to a user of a property comprising a plurality of appliances, the system comprising: at least one sensor monitoring energy consumption of one or more appliances within the property; a user interface to provide feedback to the user; and a processor configured to receive input data from an energy bill for the property covering a predetermined period; receive input regional average statistics regarding energy consumption for a set of predetermined categories of energy usage; generate a model of energy usage within a plurality of categories over the predetermined period by combining the input data, energy consumption data from the at least one sensor and generic statistics regarding energy consumption and output, via the user interface, feedback to the user based on the generated model.

Abstract: We describe a system to provide feedback to a user of an appliance for energy saving, the system comprising: means for monitoring an energy consumption of the appliance; means for inferring a mode of use of the appliance from said power consumption; and means for providing feedback to said user responsive to said inferred mode of use to indicate how an amount of energy used by said appliance may be reduced. In some embodiments the means for monitoring power consumption comprises means for identifying one or more periods of operation of the appliance from data representing aggregate power consumption of a plurality of devices including the appliance. In embodiments the means for monitoring the power consumption comprises means for monitoring mains electricity power consumption of the plurality of devices. Alternatively the means for monitoring the power consumption may comprise, for example, a plug-through power sensing device.

Abstract: This invention generally relates to a system for estimating fuel consumption of a boiler in a building and to a method of estimating fuel consumption, in particular for estimating gas consumption. A system is disclosed for estimating fuel consumption of a boiler in a building, the system comprising at least boiler operating model configured to perform said estimating on the basis of at least one ON time of the boiler.

Abstract: A system to provide feedback for energy saving to a user of a property comprising a plurality of appliances, the system comprising: at least one sensor monitoring energy consumption of one or more appliances within the property; a user interface to provide feedback to the user; and a processor configured to receive input data from an energy bill for the property covering a predetermined period; receive input regional average statistics regarding energy consumption for a set of pre-determined categories of energy usage; generate a model of energy usage within a plurality of categories over the predetermined period by combining the input data, energy consumption data from the at least one sensor and generic statistics regarding energy consumption and output, via the user interface, feedback to the user based on the generated model.

Abstract: We describe a system to provide feedback to a user of an appliance for energy saving, the system comprising: means for monitoring an energy consumption of the appliance; means for inferring a mode of use of the appliance from said power consumption; and means for providing feedback to said user responsive to said inferred mode of use to indicate how an amount of energy used by said appliance may be reduced. In some embodiments the means for monitoring power consumption comprises means for identifying one or more periods of operation of the appliance from data representing aggregate power consumption of a plurality of devices including the appliance. In embodiments the means for monitoring the power consumption comprises means for monitoring mains electricity power consumption of the plurality of devices. Alternatively the means for monitoring the power consumption may comprise, for example, a plug-through power sensing device.