The development of an integrated energy system for mining that efficiently recycles multiple resources is a crucial strategy for achieving dual carbon reduction targets in the mining sector.Precise load forecasting is...The development of an integrated energy system for mining that efficiently recycles multiple resources is a crucial strategy for achieving dual carbon reduction targets in the mining sector.Precise load forecasting is fundamental to ensuring the safe and efficient scheduling of this system.However,existing studies often overlook the coupling between load forecasting and scheduling results,treating them independently,which frequently leads to high rescheduling costs due to forecasting errors.To address this issue,we propose a closedloop load forecasting algorithm that incorporates rescheduling costs and asymmetric errors.We first proposed a data generation and model construction strategy by using real load,predicted load,and rescheduling costs to capture the relationship between load forecasting and rescheduling costs.Considering the different impacts of under-forecasting and over-forecasting on scheduling results,the rescheduling cost model is further integrated with asymmetric prediction errors to define the loss function of the Bi-LSTM based forecasting model.Additionally,an optimization strategy for self-tuning asymmetric prediction error fusion coefficients is designed to ensure the accuracy of load forecasting.The proposed algorithm is applied to the power load forecasting of an integrated energy system in a coal mine in Shanxi.The results demonstrate the effectiveness of the algorithm in reducing system rescheduling costs while ensuring forecasting accuracy,highlighting its potential application in power load forecasting for mine integrated energy systems.展开更多
In optical networks without optical amplifiers(ONWOAs) photons may fade or fail to be detected, but new photons cannot be generated. Hence, under normal conditions, only 1 → 0 errors can occur. However, in some situa...In optical networks without optical amplifiers(ONWOAs) photons may fade or fail to be detected, but new photons cannot be generated. Hence, under normal conditions, only 1 → 0 errors can occur. However, in some situations, the photodetector may generate a false 0 → 1 error. This mostly occurs in cases when the dark current is higher than specified. With this in mind, in this paper,the authors present a class of codes suitable for use in ONWOAs using self-synchronous scramblers.The presented codes can correct single errors and random asymmetric(1 → 0) errors within a b-bit byte. Unlike classical codes, these codes use integer and lookup table operations. As a result, their interleaved version, implemented on a dual-core 3.0 GHz processor, achieves the theoretical throughput above the operating rate of 10 G networks.展开更多
Concrete-filled steel tubes(CFST)are widely utilized in civil engineering due to their superior load-bearing capacity,ductility,and seismic resistance.However,existing design codes,such as AISC and Eurocode 4,tend to ...Concrete-filled steel tubes(CFST)are widely utilized in civil engineering due to their superior load-bearing capacity,ductility,and seismic resistance.However,existing design codes,such as AISC and Eurocode 4,tend to be excessively conservative as they fail to account for the composite action between the steel tube and the concrete core.To address this limitation,this study proposes a hybrid model that integrates XGBoost with the Pied Kingfisher Optimizer(PKO),a nature-inspired algorithm,to enhance the accuracy of shear strength prediction for CFST columns.Additionally,quantile regression is employed to construct prediction intervals for the ultimate shear force,while the Asymmetric Squared Error Loss(ASEL)function is incorporated to mitigate overestimation errors.The computational results demonstrate that the PKO-XGBoost model delivers superior predictive accuracy,achieving a Mean Absolute Percentage Error(MAPE)of 4.431%and R2 of 0.9925 on the test set.Furthermore,the ASEL-PKO-XGBoost model substantially reduces overestimation errors to 28.26%,with negligible impact on predictive performance.Additionally,based on the Genetic Algorithm(GA)and existing equation models,a strength equation model is developed,achieving markedly higher accuracy than existing models(R^(2)=0.934).Lastly,web-based Graphical User Interfaces(GUIs)were developed to enable real-time prediction.展开更多
Transmission error(TE)in geared rotors is a predominant source of inherent excitation at the pitch point of the gear meshing.In this paper,a transverse vibration analysis is presented to study the effect of TE on gear...Transmission error(TE)in geared rotors is a predominant source of inherent excitation at the pitch point of the gear meshing.In this paper,a transverse vibration analysis is presented to study the effect of TE on geared rotors.Due to asymmetry in the TE,it is expected to have both forward and backward whirls excited during rotor whirling,which could be used for its detection.This aspect has been envisioned first time in the present work.To capture this,an approach of orienting the line of action of a gear-pair along oblique plane is considered and the mathematical modeling has been performed of a simple spur gear-pair connecting two parallel shafts at its mid-span with an asymmetric TE.To capture the forward and backward whirls,equations of motion are converted into a complex form that facilitates obtaining response in full spectrum.The response of system model with assumed transmission error and gear-pair parameters has been obtained through a numerical simulation,which shows distinctly the forward and backward whirls due to the TE.Through a simple test rig experimentation,a similar behaviour was observed in transverse vibrations of geared rotors in the full spectrum,which validate the proposed model.展开更多
基金supported by the National Natural Science Founda-tion of China(No.62133015).
文摘The development of an integrated energy system for mining that efficiently recycles multiple resources is a crucial strategy for achieving dual carbon reduction targets in the mining sector.Precise load forecasting is fundamental to ensuring the safe and efficient scheduling of this system.However,existing studies often overlook the coupling between load forecasting and scheduling results,treating them independently,which frequently leads to high rescheduling costs due to forecasting errors.To address this issue,we propose a closedloop load forecasting algorithm that incorporates rescheduling costs and asymmetric errors.We first proposed a data generation and model construction strategy by using real load,predicted load,and rescheduling costs to capture the relationship between load forecasting and rescheduling costs.Considering the different impacts of under-forecasting and over-forecasting on scheduling results,the rescheduling cost model is further integrated with asymmetric prediction errors to define the loss function of the Bi-LSTM based forecasting model.Additionally,an optimization strategy for self-tuning asymmetric prediction error fusion coefficients is designed to ensure the accuracy of load forecasting.The proposed algorithm is applied to the power load forecasting of an integrated energy system in a coal mine in Shanxi.The results demonstrate the effectiveness of the algorithm in reducing system rescheduling costs while ensuring forecasting accuracy,highlighting its potential application in power load forecasting for mine integrated energy systems.
文摘In optical networks without optical amplifiers(ONWOAs) photons may fade or fail to be detected, but new photons cannot be generated. Hence, under normal conditions, only 1 → 0 errors can occur. However, in some situations, the photodetector may generate a false 0 → 1 error. This mostly occurs in cases when the dark current is higher than specified. With this in mind, in this paper,the authors present a class of codes suitable for use in ONWOAs using self-synchronous scramblers.The presented codes can correct single errors and random asymmetric(1 → 0) errors within a b-bit byte. Unlike classical codes, these codes use integer and lookup table operations. As a result, their interleaved version, implemented on a dual-core 3.0 GHz processor, achieves the theoretical throughput above the operating rate of 10 G networks.
基金funded by United Arab Emirates University(UAEU)under the UAEU-AUA grant number G00004577(12N145)with the corresponding grant at Universiti Malaya(UM)under grant number IF019-2024.
文摘Concrete-filled steel tubes(CFST)are widely utilized in civil engineering due to their superior load-bearing capacity,ductility,and seismic resistance.However,existing design codes,such as AISC and Eurocode 4,tend to be excessively conservative as they fail to account for the composite action between the steel tube and the concrete core.To address this limitation,this study proposes a hybrid model that integrates XGBoost with the Pied Kingfisher Optimizer(PKO),a nature-inspired algorithm,to enhance the accuracy of shear strength prediction for CFST columns.Additionally,quantile regression is employed to construct prediction intervals for the ultimate shear force,while the Asymmetric Squared Error Loss(ASEL)function is incorporated to mitigate overestimation errors.The computational results demonstrate that the PKO-XGBoost model delivers superior predictive accuracy,achieving a Mean Absolute Percentage Error(MAPE)of 4.431%and R2 of 0.9925 on the test set.Furthermore,the ASEL-PKO-XGBoost model substantially reduces overestimation errors to 28.26%,with negligible impact on predictive performance.Additionally,based on the Genetic Algorithm(GA)and existing equation models,a strength equation model is developed,achieving markedly higher accuracy than existing models(R^(2)=0.934).Lastly,web-based Graphical User Interfaces(GUIs)were developed to enable real-time prediction.
文摘Transmission error(TE)in geared rotors is a predominant source of inherent excitation at the pitch point of the gear meshing.In this paper,a transverse vibration analysis is presented to study the effect of TE on geared rotors.Due to asymmetry in the TE,it is expected to have both forward and backward whirls excited during rotor whirling,which could be used for its detection.This aspect has been envisioned first time in the present work.To capture this,an approach of orienting the line of action of a gear-pair along oblique plane is considered and the mathematical modeling has been performed of a simple spur gear-pair connecting two parallel shafts at its mid-span with an asymmetric TE.To capture the forward and backward whirls,equations of motion are converted into a complex form that facilitates obtaining response in full spectrum.The response of system model with assumed transmission error and gear-pair parameters has been obtained through a numerical simulation,which shows distinctly the forward and backward whirls due to the TE.Through a simple test rig experimentation,a similar behaviour was observed in transverse vibrations of geared rotors in the full spectrum,which validate the proposed model.
