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Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN
Heng Shi, Minghao Xu, Ran Li
Sep 30, 2018
The key challenge for household load forecasting lies in the high volatility and uncertainty of load profiles. Traditional methods tend to avoid such uncertainty by load aggregation (to offset uncertainties), customer...
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Exploration on Innovation Path of Precise Ideological and Political Work in Colleges and Universities Under the Background of Big Data Driving
Xiong Luo
Jan 01, 2024
However, although existing models for evaluating the effectiveness of universities provide a large number of modeling solutions, it is difficult to objectively evaluate dynamic coefficients based on the differences in precision...
Mechanics of neural tube morphogenesis.
The neural tube is an important model system of morphogenesis representing the developmental module of out-of-plane epithelial deformation. As the embryonic precursor of the central nervous system, the neural tube also holds...
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A Novel Task-Scheduling Algorithm of Cloud Computing Based on Particle Swarm Optimization
Zhou Wu, Jun Xiong
Apr 01, 2021
With the characteristics of low cost, high availability, and scalability, cloud computing has become a high demand platform in the field of information technology. Due to the dynamic and diversity of cloud computing system, the...
The use of thaumatin and bovine serum albumin as proteins in model wine solutions in bentonite fining
This study examined the viability of using thaumatin and bovine serum albumin (BSA) as proteins in model wine solutions for bentonite fining studies and compared them with unfined New Zealand sauvignon blanc (SB) wine. Bentonite...
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Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN
Heng Shi, Minghao Xu, Ran Li
Sep 30, 2018
The key challenge for household load forecasting lies in the high volatility and uncertainty of load profiles. Traditional methods tend to avoid such uncertainty by load aggregation (to offset uncertainties), customer...
Published by:
A Statistical Approach to Estimate Imbalance-Induced Energy Losses for Data-Scarce Low Voltage Networks

Phase imbalance in the U.K. and European low-voltage (415 V, LV) distribution networks causes additional energy losses. A key barrier against understanding the imbalance-induced energy losses is the absence of high-resolution...

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The use of thaumatin and bovine serum albumin as proteins in model wine solutions in bentonite fining
This study examined the viability of using thaumatin and bovine serum albumin (BSA) as proteins in model wine solutions for bentonite fining studies and compared them with unfined New Zealand sauvignon blanc (SB) wine. Bentonite...
Published by:
Evaluation of Fault Levels and Power Supply Network Impedances in 230/400V 50Hz Generic Distribution Systems
In this paper, typical strengths, fault levels and source impedances are thoroughly analysed and calculated for the study of quality of supply in 230/400V 50Hz distribution systems. Considering all the disparity in distribution...
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Facile synthesis of crack-free metal-organic framework films on alumina by a dip-coating route in the presence of polyethylenimine

A facile polyethylenimine (PEI)-assisted dip-coating method allows crack-free films of MIL-101(Cr) and MIL-101(Cr)-NH2 to be prepared on alumina supports. The presence of PEI enhances the selectivity of the films...

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Evaluation of Fault Levels and Power Supply Network Impedances in 230/400V 50Hz Generic Distribution Systems
In this paper, typical strengths, fault levels and source impedances are thoroughly analysed and calculated for the study of quality of supply in 230/400V 50Hz distribution systems. Considering all the disparity in distribution...
Published by:
A Statistical Approach to Estimate Imbalance-Induced Energy Losses for Data-Scarce Low Voltage Networks

Phase imbalance in the U.K. and European low-voltage (415 V, LV) distribution networks causes additional energy losses. A key barrier against understanding the imbalance-induced energy losses is the absence of high-resolution...

Published by:
A Self‐Tuning LCC/SP System for Electric Vehicle Wireless Charging against Large Self‐ and Mutual Inductance Variations
Y Zhao, X Wei, Z Luo, M Xiong, H Dai
May 30, 2022
An LCC/SP self-tuning wireless charging system is proposed herein for use in a wireless charging test bench. With different dislocations in addition to changes in the coil self-inductance and mutual inductance caused by...
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A haplotype-aware de novo assembly of related individuals using pedigree sequence graph.
MOTIVATION: Reconstructing high-quality haplotype-resolved assemblies for related individuals has important applications in Mendelian diseases and population genomics. Through major genomics sequencing efforts such as the...
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Video Speed Switching of Plasmonic Structural Colors with High Contrast and Superior Lifetime.
Reflective displays or "electronic paper" technologies provide a solution to the high energy consumption of emissive displays by simply utilizing ambient light. However, it has proven challenging to develop electronic paper with...
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Real-Time Classification Model of Public Emergencies Using Fusion Expansion Network
Gang Wang, Haiou Xiong
Jan 01, 2024
In today's deep learning-dominated era, real-time classification of public emergencies is a critical research area. Existing methods, however, often fall short in considering both temporal and spatial aspects comprehensively....
Bidirectional Complementary Correlation-Based Multimodal Aspect-Level Sentiment Analysis
Jing Yang, Yujie Xiong
Jan 01, 2024
Aspect-based sentiment analysis is the key to natural language processing, and it focuses on the polarity of emotions associated with specific text aspects. Traditional models that combine text and visual data tend to ignore the...

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