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A Temporal Convolutional Network Based Hybrid Model for Short-term Electricity Price Forecasting

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1119-1130页

作者： Haoran Zhang Weihao Hu Di Cao Qi Huang Zhe Chen Frede Blaabjerg School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengduChina department of Energy Technology Aalborg UniversityAalborgDenmark IEEE

Electricity prices have complex features,such as high frequency,multiple seasonality,and *** factors will make the prediction of electricity prices ***,accurate electricity price prediction is important for energy producers and consumers to develop bidding *** improve the accuracy of prediction by using each algorithms’advantages,this paper proposes a hybrid model that uses the Empirical Mode Decomposition(EMD),Autoregressive Integrated Moving Average(ARIMA),and Temporal Convolutional Network(TCN).EMD is used to decompose the electricity prices into low and high frequency *** frequency components are forecasted by the ARIMA model and the high frequency series are predicted by the TCN *** results using the realistic electricity price data from Pennsylvania-New Jersey-Maryland(PJM)electricity markets show that the proposed method has a higher prediction accuracy than other single methods and hybrid methods.

关键词： Autoregressive integrated moving average model electricity price forecasting empirical mode decomposition temporal convolutional network

Skyrmion motion induced by spin-waves on magnetic nanotubes

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Chinese Physics B 2024年第10期33卷 413-418页

作者： Tijjani Abdulrazak Xuejuan Liu Zhenyu Wang Yunshan Cao Peng Yan School of Physics and State Key Laboratory of electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 610054China department of Physics Bayero UniversityKano-700006Nigeria School of Healthcare Technology Chengdu Neusoft UniversityChengdu 611844China

We investigate the skyrmion motion driven by spin waves on magnetic nanotubes through micromagnetic *** key results include demonstrating the stability and enhanced mobility of skyrmions on the edgeless nanotube geometry,which prevents destruction at boundaries—a common issue in planar *** explore the influence of the damping coefficient,amplitude,and frequency of microwaves on skyrmion dynamics,revealing a non-uniform velocity profile characterized by acceleration and deceleration *** results show that the skyrmion Hall effect is significantly modulated on nanotubes compared to planar models,with specific dependencies on the spin-wave *** findings provide insights into skyrmion manipulation for spintronic applications,highlighting the potential for high-speed and efficient information transport in magnonic devices.

关键词： ferromagnetic magnetic nanotube Mumax3 software skyrmion spin-wave

Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah Mahamod Ismail Sarmad Nozad Mahmood Mohammed Mudhafar Shakir Hussein Alsariera Faculty of electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things

SmartMicro Grid Energy System Management Based on Optimum Running Cost for Rural Communities in Rwanda

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Energy Engineering 2024年第7期121卷 1805-1821页

作者： Fabien Mukundufite Jean Marie Vianney Bikorimana Alexander Kyaruzi Lugatona Electrical and electronic Engineering department University of RwandaKigaliRwanda Electrical Engineering department University of Dar es SalaamDar es SalaamTanzania

The governmental electric utility and the private sector are joining hands to meet the target of electrifying all households by ***,the aforementioned goal is challenged by households that are scattered in remote *** far,Solar Home Systems(SHS)have mostly been applied to increase electricity access in rural *** have continuous constraints to meet electricity demands and cannot run income-generating *** current research presents the feasibility study of electrifying Remera village with the smart microgrid as a case *** renewable energy resources available in Remera are the key sources of electricity in that *** generation capacity is estimated based on the load *** microgrid configurations are simulated with HOMER,and the genetic algorithm is used to analyze the optimum *** analyzing the impact of operation and maintenance costs,the results show that the absence of subsidies increases the levelized cost of electricity(COE)five times greater than the electricity price from the public *** microgrid made up of PV,diesel generator,and batteries proved to be the most viable solution and ensured continuous power supply to *** considering the subsidies,COE reaches 0.186$/kWh,a competitive price with electricity from public utilities in Rwanda.

关键词： Load demand load profile optimum running cost power demand satisfaction smart meters and smart micro grid

Visible Light Indoor Positioning System Based on Pisarenko Harmonic Decomposition and Neural Network

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Chinese Journal of electronics 2024年第1期33卷 195-203页

作者： Li ZHAO Yi REN Qi WANG Lange DENG Feng ZHANG School of electronic Information Engineering Xi’an Technological University

Visible-light indoor positioning is a new generation of positioning technology that can be integrated into smart lighting and optical communications. The current received signal strength(RSS)-based visible-light positioning systems struggle to overcome the interferences of background and indoor-reflected noise. Meanwhile, when ensuring the lighting, it is impossible to use the superposition of each light source to accurately distinguish light source information; furthermore, it is difficult to achieve accurate positioning in complex indoor environments. This study proposes an indoor positioning method based on a combination of power spectral density detection and a neural network. The system integrates the mechanism for visible-light radiation detection with RSS theory, to build a back propagation neural network model fitting for multiple reflection channels. Different frequency signals are loaded to different light sources at the beacon end, and the characteristic frequency and power vectors are obtained at the location end using the Pisarenko harmonic decomposition method. Then, a complete fingerprint database is established to train the neural network model and conduct location tests. Finally, the location effectiveness of the proposed algorithm is verified via actual positioning experiments. The simulation results show that, when four groups of sinusoidal waves with different frequencies are superimposed with white noise, the maximum frequency error is 0.104 Hz and the maximum power error is 0.0362 W. For the measured positioning stage, a 0.8 m × 0.8 m × 0.8 m solid wood stereoscopic positioning model is constructed, and the average error is 4.28 cm. This study provides an effective method for separating multi-source signal energies, overcoming background noise, and improving indoor visible-light positioning accuracies.

关键词： Neural networks Measurement uncertainty Position measurement Harmonic analysis Light emitting diodes Frequency estimation Indoor positioning systems

A direct electrochemical biosensor for rapid glucose detection based on nitrogen-doped carbon nanocages

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Rare Metals 2024年第5期43卷 2184-2192页

作者： Lan-Lan Li Yu Zhao Li-Jia Pan Jian-Bin Xu Yi Shi College of Mechanical and Electrical Engineering Henan Agricultural UniversityZhengzhou 450002China School of electronic Science and Engineering Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China department of electronic Engineering The Chinese University of HongKongHongkong 999077China

Given the increasing number of diabetic patients,rapid and accurate detection of glucose in body fluids is *** study developed a direct electrochemical biosensor for glucose based on nitrogen-doped carbon nanocages(NCNCs).NCNCs possess a large specific surface area of 1395 m^(2)·g^(-1),a high N atomic content of 9.37%and good biocompatibility,which is favorable for enzyme loading and electron *** surface average concentration of electroactive glucose oxidase on NCNCs was 2.82×10^(-10)mol·cm^(-2).The NCNC-based direct electrochemical biosensor exhibited a high sensitivity of 13.7μA·(mmol·L^(-1))^(-1)·cm^(-2),rapid response time of 5 s and an impressive electron-transferrate constant(ks)of 1.87 s^(-1).Furthermore,we investigated an NCNC-based direct electron transfer(DET)biosensor for sweat glucose detection,which demonstrated tremendous promise for non-invasive wearable diabetes diagnosis.

关键词： Direct electron transfer(DET) Nitrogen-doped carbon nanocages(NCNCs) Glucose oxidase Biosensor

Assessment of the implementation status of best available techniques for cleaner production in the textile industry

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Frontiers of Environmental Science & Engineering 2024年第8期18卷 133-148页

作者： Mehmet Eren Yaman Emrah Ozturk Ulku Yetis Mehmet Kitis department of Environmental Engineering Suleyman Demirel UniversityIsparta 32260Turkey department of Environmental Protection technologies Isparta University of Applied SciencesIsparta 32200Turkey department of Environmental Engineering Middle East Technical UniversityAnkara 06800Turkey

The draft Integrated Pollution Prevention and Control(IPPC)regulation mandates compliance with best available techniques(BATs)for textile manufacturers.A study in Turkish textile facilities,covering 56 units across four sub-sectors,assessed the status of 488 BATs through on-site visits and *** aim was to gauge the sector’s adherence to *** findings revealed that 37% of surveyed BATs were fully implemented,rising to 88% when considering potential future *** suggests a strong industry inclination toward adopting BATs for cleaner production and *** study highlighted significant BAT-related investments in the textile sector,driven by environmental concerns,regulations,customer demands,resource efficiency,competition,and cost-benefit ***,the study results also indicated that there is still much work to do for the implementation of some *** was found that 60 BATs had lower implementation ratios(IR:0%-43%).Lower IR values for these BATs are mainly due to factors like specificity,high costs,long payback periods,operational difficulties,limited expertise,space constraints,customer requirements,quality concerns,operational issues,and sector-specific *** study recommends similar assessments in other European industrial sectors to evaluate compliance with mandatory BATs outlined in the Industrial Emissions *** insights from this study on the Turkish textile sector can serve as a valuable guide for future evaluations.

关键词： Best available techniques(BAT) Cleaner production Green Deal Integrated Pollution Prevention and Control(IPPC) Textile sector

Transcriptomic analysis identifies the neuropeptide cortistatin (CORT) as an inhibitor of temozolomide (TMZ) resistance by suppressing the NF-kB-MGMT signaling axis in human glioma

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Genes & Diseases 2024年第3期11卷 385-399页

作者： Zongze He Bo Peng Qi Wang Jie Tian Ping Liu Jie Feng Yiwei Liao Longyi Chen Ping Jia Jian Tang department of Neurosurgery Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan 610072China department of Rehabilitation Medicine Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan 610072China department of Neurosurgery Xiangya HospitalCentral South UniversityChangshaHunan 410008China

Glioma is a common tumor originating in the brain that has a high mortality ***(TMZ)is the first-line treatment for high-grade ***,a large pro-portion of gliomas are resistant to TMZ,posing a great challenge to their *** the study,the specific functions and mechanism(s)by which cortistatin(CORT)regulates TMZ resis-tance and glioma progression were *** decreased expression of CoRT was detected in glioma tissues,and highly expressed CORT was associated with a better survival rate in pa-tients with *** overexpression notably decreased the capacity of glioma cells to pro-liferate and migrate in vitro and to form tumors in *** overexpression also markedly suppressed the viability and enhanced the apoptosis of TMZ-resistant U251 cells by regulating MGMT,p21,and Puma ***,CORT overexpression reduced the resistance of gliomas to TMZ in *** expression Was negatively correlated with MGMT expression in both glioma tissues and cells,and it was found that CORT inhibited NF-kB pathway activation in glioma cells,thereby inhibiting MGMT *** conclusion,CORT regulates glioma cell growth,migration,apoptosis,and TMZ resistance by weakening the activity of NF-kB/p65 and thereby regulating MGMT *** CORT/NF-kB/MGMT axis might be regarded as a molecular mechanism contributing to the resistance of glioma to *** data also suggest that CORT regulates the viability and metastatic potential of glioma cells,independent of its effects on TMZ resistance,providing evidence of novel therapeutic targets for glioma that should be evaluated infurther studies.

关键词： Cortistatin Glioma MGMT NF-kB pathway Temozolomide

Visual observation of photonic Floquet–Bloch oscillations

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Light(Science & Applications) 2024年第5期13卷 921-929页

作者： Zhen Zhang Yuan Li Xiankai Sun Xuewen Shu Wuhan National Laboratory for Optoelectronics and School of Optical and electronic Information Huazhong University of Science and TechnologyWuhanHubei 430074China department of electronic Engineering The Chinese University of Hong KongShatinNew TerritoriesHong Kong SARChina

Bloch oscillations(BOs),an important transport phenomenon,have been studied extensively in static systems but remain mysterious in Floquet ***,by harnessing notions from photonic analogy,we propose a generalization of the existing BOs in photonic Floquet lattices,namely the“photonic Floquet–Bloch oscillations”,which refer to rescaled photonic Bloch oscillations with a period of extended least common multiple of the modulation period and the Bloch oscillation ***,we report the first visual observation of such photonic Floquet–Bloch oscillations(FBOs)by employing waveguide fluorescence *** significantly,the FBOs surpass the existing BOs in Floquet systems and exhibit exotic properties on their own,including fractal spectrum and fractional Floquet *** new transport mechanism offers an intriguing method of wave manipulation that may contribute to rapidly developing fields in photonics,condensed matter physics,and quantum physics.

关键词： Bloch analogy generalization