Results 21 to 30 of about 536,285 (268)
IEEE AccessMulti-label image classification in privacy-sensitive domains faces several challenges, particularly in multi-label electricity scene classification tasks where equipment wear and similar factors introduce label noise.
Lei Zhong +6 more
doaj +1 more source
A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis
Zhongguo dianli, 2020 A short-term load forecasting method based on load characteristics clustering and elastic net analysis is proposed in this paper. By analyzing and clustering the historical load characteristics, the annual days are classified and its clusters are ...
Bingjie JIN +4 more
doaj +1 more source
Scientific ReportsAccurate electricity demand forecasting is crucial for the stable operation of smart grids, as it enables proactive resource allocation and prevents grid failures caused by demand–supply mismatches.
Ming Yang +6 more
doaj +1 more source
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Federated Multi-Stage Attention Neural Network for Multi-Label Electricity Scene Classification
Journal of Low Power Electronics and ApplicationsPrivacy-sensitive electricity scene classification requires robust models under data localization constraints, making federated learning (FL) a suitable framework.
Lei Zhong +8 more
doaj +1 more source
Energy Reports, 2022 This paper proposes a cooperative-game-based approach to plan the capacity of wind generation units (WGUs) in the multi-wind-generation DC-connected (MWGDC) system, which considers both the individual economy of each WGU and the system operation security.
Zhiyong Yuan +7 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Models for the modern power grid [PDF]
The European Physical Journal Special Topics, 2014 This article reviews different kinds of models for the electric power grid that can be used to understand the modern power system, the smart grid. From the physical network to abstract energy markets, we identify in the literature different aspects that co-determine the spatio-temporal multilayer dynamics of power system. We start our review by showing
Nardelli, Pedro H. J. +6 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Energy InformaticsThe new power system puts forward higher requirements for the functionality, real-time performance and reliability of relay protection equipment. Therefore, this paper designs a monitoring platform for the operation of relay protection equipment at ...
Qingsheng Li +3 more
doaj +1 more source