Data Gathering and Application to Building Energy Optimization with Sensitivity Analysis for IoT Applications

Abstract

Building energy optimization has much related with energy saving and building maintenance viewpoint as well. First we face with building modelling problem. Then it is naturally followed the issue by how exact or how efficient it is. Generally, analytical approach meets rather complex and complicate to express with exactly. Hence, we normally design the system model with possible and accessible input/output data with IoT sensor. That is Neural Network (NN), and it has been focused nowadays. In this paper, we will focus on the building modelling with NN based on input and output data such as temperature, working days, humidity, weather characteristics and electrical consumption for IoT applications. Modelling verification will be followed with test data, and performance also evaluated.