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Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction
(2022-12)
Building energy efficiency is vital, due to the substantial amount of energy consumed in buildings and the associated adverse effects. A high-accuracy energy prediction model is considered as one of the most effective ways ...
Effect of traffic dataset on various machine-learning algorithms when forecasting air quality
(2022-05-26)
Purpose (limit 100 words) Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic datasets on air quality predictions has not been clearly investigated. This ...
Machine learning for energy performance prediction at the design stage of buildings
(2022-02-28)
The substantial amount of energy consumption in buildings and the associated adverse effects prompts the importance of understanding building energy efficiency. Developing an energy prediction model with high accuracy is ...
Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
(2022-01-01)
The high proportion of energy consumed in buildings has engendered the manifestation of many environmental problems which deploy adverse impacts on the existence of mankind. The prediction of building energy use is essentially ...