Abstract
Nowadays, smart buildings can collect data regarding the electric energy consumption, which can then be analyzed to gain insights or to predict or identify abnormal energy consumption. Numerous models are applied to face this problem but they are based on a global point of view and cannot detect local patterns of abnormal consumption. This work lies in the former option, as we propose a way to analyze energy consumption data from smart buildings. In particular, we use energy consumption data collected by various buildings over a five-year period. These data were analyzed to gain insight into the functioning of the considered buildings, with the aim of detecting anomalous situations, which could indicate that some energy usage policy should be changed or that there is a fault in the sensor network. In particular, we propose an approach based on biclustering, which allows obtaining subgroups of buildings that show a similar behaviour over a specific period of time. To the best of our knowledge, this is the first application of biclustering to energy consumption data analysis. Results confirm that the proposed approach can help policy makers in detecting irregular situations, which can provide hints on how to improve the efficiency of buildings.
Highlights
IntroductionEnergy consumption of buildings is receiving more and more attention in today’s economies
Energy consumption of buildings is receiving more and more attention in today’s economies.As buildings represent substantial consumers of energy worldwide, with this trend increasing over the past few decades due to rising living standards, this issue has drawn considerable attention from various stakeholders
We have presented an analysis based on biclustering of data, generated over five years, regarding the energy consumption relative to different buildings located on a university campus
Summary
Energy consumption of buildings is receiving more and more attention in today’s economies. As buildings represent substantial consumers of energy worldwide, with this trend increasing over the past few decades due to rising living standards, this issue has drawn considerable attention from various stakeholders (e.g., inhabitants, policy makers, and industry). As pointed out in [1], the energy consumption in buildings has experienced an increment of 1.5% per year in Europe and of 1.9% per year in North America. This increment is even more alarming in China, where it has experienced an increment of 10% in the last twenty years [2]. It follows that actions are required to improve the efficiency of energy consumption in buildings, in order to decrease both the costs associated to it and the environmental impact this consumption has
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