Results 161 to 170 of about 48,097 (299)
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
Influence of Continuous Predictor Modelling Methods on Prediction Stability in Clinical Prediction Model Development: An Empirical Comparison Using Real Clinical Data. [PDF]
Phinyo P +7 more
europepmc +1 more source
Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun +4 more
wiley +1 more source
A Diffusion-Based Digital Twin for Predicting Road Deterioration under Climate and Traffic Stress. [PDF]
Pan N, Du Y, Parlikad AK.
europepmc +1 more source
La inexcusable tasca de confeccionar mapes
Amb Salvador Llobet m'uní una bona amistat i una preocupació naturalística comú. L'oportunitat que se m'ofereix de retre homenatge a la seva memòria en aquestes pàgines, que molt agraeixo, em porta a recordar algunes preocupacions comunes. L'ecologia té molts problemes paral·lels i comparteix arrels amb certes maneres d'entendre la geografia física i ...
openaire +2 more sources
ABSTRACT The combination of electric‐heating interconnected microgrids (EHIMs) with grid‐forming converters (GFMCs) offers a highly promising approach to improving energy management within decentralised energy systems. Despite its potential, precisely modelling and analysing energy flow in such systems remains a considerable challenge due to the ...
Ji Li +15 more
wiley +1 more source
Development and validation of a pharmacokinetic tool to convert random topiramate concentrations to standardized trough levels in bipolar disorder. [PDF]
Jv X +7 more
europepmc +1 more source
Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study. [PDF]
Dang C +9 more
europepmc +1 more source
Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source

