Due to the fact that the majority of large buildings are being built in densely populated urban areas, Malaysian buildings use more energy per square metre of floor space than those in the majority of other nations. The researcher and intervention designer will be able to determine the impact of each social parameter on the building energy performance with the aid of their understanding of how and which social parameters contribute to building energy performance. The energy consumption profiles may include gender and age-related variables. When taking into account the correlation between age and energy consumption, this study sheds light on energy consumption and gender. The purpose of this study is to determine the connection between gender, age, and the amount of energy used in an office building. After that, it will go into how this group may be a springboard for fresh, energy-saving techniques that will ultimately benefit everyone. Using a combination of statistical and neural network methods, 1,116 samples from 13 office building locations across 150-day periods were assessed. Large amounts of data are difficult to evaluate using simply traditional statistical approaches, thus neural networks are employed to model and analyse these data sets. The study's findings imply that gender and age play a role in how efficiently a building uses energy. The findings show that women spend much more energy than men, and that the most significant age groups for energy consumption are those under 30 and those between 41 and 50 years old.
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