Building Carbon Emissions Prediction Based on Deep Learning Network with Improved Particle Swarm Optimization
Hao-Dong Chai,
Bing-Juan Lin,
Yi Wang
et al.
Abstract:Buildings' carbon emissions are the main contributor to climate change. The world needs to be able to foresee and further reduce construction carbon emissions if it wants to prevent the worst effects of climate change. The main challenge in carbon emission prediction for buildings is how to increase algorithm accuracy. Therefore, a novel technique for calculating carbon emissions is proposed in this study. The proposed technique uses improved particle swarm optimization (PSO) and deep neural network (DNN) to a… Show more
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