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RISS 인기검색어
- 검색키워드
- 저자 : Guorong Sha (검색결과 2 건)
- 무료
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Prediction of commercial building lighting energy consumption based on EPSO-BP
Guorong Sha,Qing Qian 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
It aims to distinguish the whereabouts of the total energy consumption of commercial building lighting accurately and improve prediction accuracy. Based on the use of commercial building lighting energy consumption, this paper divides the total lighting energy consumption into three sections, such as the advertising lighting energy consumption, decorative lighting energy consumption and special lighting energy consumption. The EPSO-BP prediction model is constructed and the sub-item prediction of energy consumption of commercial building lighting is realized through MATLAB software. The advertising lighting energy consumption, decorative lighting energy consumption and special lighting energy consumption are predicted by this model, and compared with the other models. The experimental results show that the prediction model proposed in this paper can distinguish the whereabouts of the total energy consumption and predict the lighting energy consumption in the various sub-items of the commercial building more accurately and effectively.
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Short-term subway human flow forecast based on the GM-BP prediction model
Guorong Sha,Qing Qian 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
In order to accurately predict the short-term subway human flow and improve its prediction accuracy. Based on the characteristics of subway human flow and the advantages of the GM model prediction and the simplicity of the BP model modeling method, a prediction model based on the GM-BP is constructed. Through MATLAB software to achieve short-term subway human flow forecast, predicting short-term subway traffic, and compared with a single BP prediction model. The experimental results show that the prediction model proposed in this paper can more accurately and effectively predict the short-term subway human flow.
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