THE USE OF MATLAB TOOLS FOR BIG DATA ANALYSIS TO ENERGY EFFICIENCY OF BUILDINGS

Today, big data affects almost all branches of the engineering infrastructure. With the advent of the Internet of Things (IoT) devices, their growth is accelerating more and more. But without analytics there is no use for them. Immense results are presented by the capability to analyze and utilize huge amounts of IoT data, including applications in smart cities, smart transport and grid systems, energy smart meters, and remote patient healthcare monitoring devices. Collecting and analyzing smart meter data in IoT environment assist the decision maker in predicting electricity consumption. Furthermore, the analytics of a smart meter can also be used to forecast demands to prevent crises and satisfy strategic objectives through specific pricing plans. Thus, utility companies must be capable of high-volume data management and advanced analytics designed to transform data into actionable insights. Big data analytics allows you to predict, find hidden relationships and make optimal decisions based on them. Big data collected from smart cities offer new opportunities in which efficiency gains can be achieved through an appropriate analytics platform/infrastructure to analyze big IoT data. MATLAB tools allow you to process and analyze data, build machine learning models. This article discusses the possibilities of using the methods of modeling, forecasting for energy efficiency of buildings. MATLAB is the best tool for prototyping algorithms and performing modern mathematical calculations.

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