Results 261 to 270 of about 11,351,001 (331)

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Spatial Variations in Methane Content and Their Main Controlling Factors of the Deep‐Buried Coalbed in the Nalinhe–Hengshan Area, Ordos Basin

Energy Science &Engineering, EarlyView.
Ash yield is the primary geological factor controlling the spatial variations in the total gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin. However, porosity dominates the differential enrichment of the free gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin.
Shi Yunhe, Wang Kangle, Wang Huaichang, Wang Yufei, Zhang Hui, Cao Jingjing, Yin Liangliang, Hu Xinyou, Liang Chao, Liu Mina   +9 more
wiley   +1 more source

Spontaneous regression of equine sarcoids is an exceptional event

Equine Veterinary Journal, EarlyView.
Abstract Sarcoids are benign, yet locally aggressive skin tumours that commonly affect horses and other equid species. The lesions are induced by bovine papillomavirus types 1, 2, and probably 13 in conjunction with other factors including trauma and a genetic predisposition.
Sabine Brandt
wiley   +1 more source

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Non-Intrusive Load Monitoring: A Review

IEEE Transactions on Smart Grid, 2023
The rapid development of technology in the electrical energy sector within the last 20 years has led to growing electric power needs through the increased number of electrical appliances and automation of tasks.
P. Schirmer, I. Mporas
semanticscholar   +1 more source

Non-intrusive reduced order modeling of nonlinear problems using neural networks

Journal of Computational Physics, 2018
We develop a non-intrusive reduced basis (RB) method for parametrized steady-state partial differential equations (PDEs). The method extracts a reduced basis from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD) and ...
Stefano Ubbiali
exaly   +2 more sources

A Model-Driven Scheme to Compensate the Strain-Based Non-Intrusive Dynamic Pressure Measurement for Hydraulic Pipe

IEEE Transactions on Instrumentation and Measurement, 2021
Strain-based non-intrusive approaches for measuring the pressure of pipes have attracted widespread attention due to their great convenience and ability to avoid destroying the integrity of structures.
Zechao Wang, Mingyao Liu, Wang-ji Yan, Han Song, Zude Zhou, K. Yuen, Qin Wei, S. Cheng   +7 more
semanticscholar   +1 more source

Non-Intrusive Load Monitoring by Load Trajectory and Multi-Feature Based on DCNN

IEEE Transactions on Industrial Informatics, 2023
This article proposes a non-intrusive load monitoring (NILM) framework based on a deep convolutional neural network (DCNN) to profile each household appliance on/off status and the residential power consumption.
Hui Yin, Kaile Zhou, Shanlin Yang
semanticscholar   +1 more source

Electricity Theft Detection Based on Contrastive Learning and Non-Intrusive Load Monitoring

IEEE Transactions on Smart Grid, 2023
Electricity theft has caused enormous damage to grid’s safety and economy globally, bringing plentiful attention to electricity theft detection. However, the inherent problems of data imbalance, data sparsity, and data shift due to the residents’ will or
Ang Gao, Fei Mei, Jianyong Zheng, Haoyuan Sha, Menglei Guo, Yang Xie   +5 more
semanticscholar   +1 more source

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling

arXiv.org, 2023
Large language models (LLMs) and vision language models (VLMs) demonstrate excellent performance on a wide range of tasks by scaling up parameter counts from O(10^9) to O(10^{12}) levels and further beyond.
Yaqing Wang, Jialin Wu, T. Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut   +10 more
semanticscholar   +1 more source

Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier [PDF]

Sustainable Cities and Society, 2021
Non-intrusive load monitoring (NILM) is a key cost-effective technology for monitoring power consumption and contributing to several challenges encountered when transiting to an efficient, sustainable, and competitive energy efficiency environment.
Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali   +2 more
exaly   +2 more sources