Results 161 to 170 of about 48,097 (299)

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

La inexcusable tasca de confeccionar mapes

open access: yesTreballs de la Societat Catalana de Geografia, 1991
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

Energy Flows Balance of Electric‐Heating Interconnected Microgrids Under Grid‐Forming Converter Integration Based on Heterogeneous Graph Convolutional Network

open access: yesEnergy Internet, EarlyView.
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

Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study. [PDF]

open access: yesJMIR Med Inform
Dang C   +9 more
europepmc   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

open access: yesReal Estate Economics, EarlyView.
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

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