Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis by Fernando Pedro Silva Almeida, Mauro Castelli, Nadine Côrte-Real

“…Data from four weather stations, encompassing diverse features relevant to the European Central Bank (ECB) building's cooling consumption in Frankfurt, were employed. …”
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An Improved YOLOv8-XGBoost load rapid identification method based on multi-feature fusion by JianYuan Wang, Long Cheng

Subjects: “…Non-Intrusive Load Identification…”
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PCL-RC: a parallel cloud resource load prediction model based on feature optimization by Guoxiu Zhang, Xinyi He, Xiaofeng Wang

“…Thus, in this study, we propose a parallel cloud resource load prediction model, PCL-RC, that is based on feature optimization and focuses on feature extraction optimization and load forecasting. …”
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Extraction of the key infrared radiation temperature features concerning stress and crack evolution of loaded rocks by Wei Liu, Liqiang Ma, Michel Jaboyedoff, Marc-Henri Derron, Qiangqiang Gao, Fengchang Bu, Hai Sun

“…In this paper, a methodology to extract the key IRT features related to stress and crack evolution of loaded rocks is proposed. …”
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FEATURES OF THE RESPONSE OF ARTERIAL BLOOD FLOW TO THE ORTHOSTATIC LOAD IN YOUNG WOMEN WITH IDIOPATHIC ARTERIAL HYPOTENSION by T. Y. Agafonova, V. M. Baev, O. A. Samsonova, R. S. Dusakova

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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

Subjects: “…load forecasting…”
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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…Moreover, the current literature is limited to forecasting residential load to only a few hours in the future. In this paper, we propose Fusion ConvLSTM-Net, a novel fusion encoder-decoder architecture that combines both spatial and temporal features to extend the load forecast to a full 24 hour period. …”
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Neoantigen load as a predictor of relapse in early-stage NSCLC: features that agonise and antagonise prognosis by Linda Ye, Ian Dick, Bruce W. Robinson, Jenette Creaney, Alec Redwood

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Clinical features of chronic hepatitis C in children by M. S. Bokhonov, L. E. Galitsina, I. G. Sitnikov, O. S. Gorbunova

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Features of Bending Stresses Calculation for a Drill String Pipes at oil Well Drilling by Maryna G. Gegedesh, Victor M. Tkachev, Nikita V. Bocharov

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Incorporated flexible load forecasting based on non-intrusive load monitoring: a TCN-based meta learning approach by Yun Zhang, Quanyan Shu, Feng Ding, Feng Liu, Shuiming Jiang, Wenlong Wu

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Annual Daily Average Load Curve Prediction Considering Dynamic Time Anchors and Typical Feature Constraints by Dan LI, Shuai HE, Wei YAN, Yue HU, Zeren FANG, Yunyan LIANG

Subjects: “…load forecasting…”
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Collaborative Forecasting of Multiple Energy Loads in Integrated Energy Systems Based on Feature Extraction and Deep Learning by Zhe Wang, Jiali Duan, Fengzhang Luo, Xiaoyu Qiu

“…This paper proposes a collaborative load forecasting method based on feature extraction and deep learning. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

Subjects: “…power load forecasting…”
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Recognition of Impact Load on Connecting-Shaft Rotor System Based on Motor Current Signal Analysis by Kun Zhang, Zhaojian Yang, Qingbao Bao, Jianwen Zhang

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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

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Experimental study on energy evolution and damage characteristics of unloading coal under cyclic loading by Peng Zou, Hao Fan, Huaiqian Liu, Kang Jin, Hao Zhong

Subjects: “…Cyclic loading…”
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Influence of physical loading on behavioral reactions of rats in cerebral hypoperfusion by V. V. Сhrishtop, T. A. Rumyantseva, V. G. Nikonorova, I. V. Fateev

“…The aim of the study was to identify the typological features of the effect of physical activity on the behavioral reactions of rats during cerebral hypoperfusion. …”
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Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite by Xi Zhang, Xi Zhang, Yankun Ma, Yankun Ma, Mingye Hu, Aohan Zhao, Aohan Zhao, Wenwang Yang, Wenwang Yang

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Structural and adsorption features of amorphous nanosilica modified by various addition of polymethylsiloxane by V. V. Turov, V. M. Gun'ko, T. V. Krupska, I. S. Protsak, E. M. Pakhlov

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