Centrica Hive Limited

British Gas Trading Limited

Other

Alertme.com Ltd

Miroslav Hamouz

Jim Anning

Oliver Parson

Stephen Wood

Daniel James Palmer

Nicholas James Bailey

Pilgrim Giles William Beart

Benjamin Kenneth Coppin

Nicholas Charles Leith

Colin Chapman

Alexandros Leontitsis

Graham Barr

Christiaan Erdbrink

Jack Elliot Hargreaves

Ryszard Maciol

Adi Andrei

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.

System for energy consumption prediction

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.

Method and system for determining energy consumption of a property

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. The method comprises: identifying an activation period during which the environmental control system is expected to be activated to control an environmental characteristic; recording a data set of sensor data measured during the activation period relating to the environmental characteristic; receiving control data indicating a target value configured at the environmental control system for the environmental characteristic; analysing the sensor data set in dependence on the target value to determine whether the sensor data is consistent with an expected response of the environmental characteristic during the activation period; and detecting an underperformance condition in response to determining that the sensor data is not consistent with the expected response.

HVAC performance monitoring system

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.

Fuel consumption estimation

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.

Method and system to provide feedback for energy saving to a user of a property comprising a plurality of appliances

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.

Appliance monitoring and control systems

Growing community of inventors

Cambridge, United Kingdom

Miroslav Hamouz