British Gas Trading Limited

Centrica Hive Limited

Jim Anning

Miroslav Hamouz

Oliver Parson

Stephen Wood

Nicholas James Bailey

Alexandros Leontitsis

Adi Andrei

Christiaan Erdbrink

Ryszard Maciol

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

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Reading, United Kingdom

Jim Anning