Artificial Intelligence-Based Prediction Models for Energy Performance of Residential Buildings

Although energy sources on the environment are limited, in all parts of life, energy requirement increases rapidly which depends on the increasing technology and population. This problem enforces researchers to study on energy efficiency, performance, and optimization. This paper presents artificial intelligence-based (AI) prediction models to estimate energy loads for residential buildings. The model was developed by using eight input parameters (relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, glazing area distribution) related to two output parameters (heating and cooling loads).

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