Computer Science > Portfolio > Unit_Guide_COMP2200_2020_Session 2, Special circumstance (All)

Unit_Guide_COMP2200_2020_Session 2, Special circumstance

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COMP2200/COMP6200 Portfolio 2 The goal of the second portfolio is to reproduce some work on predicting the energy usage of a house based on Internet of Things (IoT) measurements of temperature and h ... umidity and weather observations. Introduction: the electricity consumption in domestic buildings is explained by two main factors: the type and number of electrical appliances and the use of the appliances by the occupants. Naturally, both factors are interrelated. The domestic appliances use by the occupants would leave traceable signals in the indoor environment near the vicinity of the appliance, for example: the temperature, humidity, vibrations, light and noise. The occupancy level of the building in different locations could also help to determine the use of the appliances. In this work, the prediction was carried out using different data sources and environmental parameters (indoor and outdoor conditions). Specifically, data from a nearby airport weather station, temperature and humidity in different rooms in the house from a wireless sensor network and one sub-metered electrical energy consumption (lights) have been used to predict the energy use by appliances. This work explores several questions. Is the weather data obtained from a nearby weather station representative enough to improve the appliances energy consumption prediction? Can the temperature and humidity measurements from a wireless network help in the energy prediction? From all the data used in prediction models, which parameters are the most important in energy prediction? [Show More]

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