One of the most significant axes of regional, national, and worldwide energy policy is energy
efficiency in building design. In particular, the energy efficiency of HVAC systems is of …

The growing population has caused to increase in energy demand worldwide. Since
significant energy consumption in the residential building sector is assigned to the heating …

Building energy consumption prediction plays an irreplaceable role in energy planning,
management, and conservation. Data-driven approaches, such as artificial neural networks …

With the constant expansion of the building sector as a major energy consumer in the
modern world, the significance of energy-efficient building systems cannot be more …

Buildings energy consumption is growing gradually and put away around 40% of total
energy use. Predicting heating and cooling loads of a building in the initial phase of the …

It is increasingly significant to predict building energy consumption in energy-saving
decision making. This paper presents the method of support vector regress (SVR) to forecast …

The continuous increase in energy consumption has brought worldwide attention to its
significant environmental effect, which is triggered by the increase in greenhouse gas …

It is increasingly significant to predict building energy consumption (BEC) in energy-saving
decision making. This paper presents the method of support vector machines (SVM) to …

Residential buildings are a significant source of energy consumption and greenhouse gas
emissions, making it crucial to accurately predict their energy demand for reducing their …

The ever-increasing human population, building constructions, and technology usages have
currently caused electric consumption to grow significantly. Accordingly, some of the efficient …