Results 201 to 210 of about 425,946 (297)

Fully Printed and Scalable Current and Voltage Sensors for Smart Grid Transmission Line Monitoring. [PDF]

Sensors (Basel)
Fan Y, Zhang L, Zhang C, An Z, Li B, Li D.   +5 more
europepmc   +1 more source

Smart grid energy scheduling based on improved dynamic programming algorithm and LSTM. [PDF]

PeerJ Comput Sci, 2023
Huang X, Lin Y, Ruan X, Li J, Cheng N.
europepmc   +1 more source

Power simulator upgrade for smart grid algorithm development and testing

, 2010
Michael Joseph Spencer
openalex   +2 more sources

Proposed components for the design of a smart nano-grid for a domestic electrical system that operates at below 50V DC [PDF]

, 2011
Moshe C. Kinn
openalex   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Interpretable adaptive fault detection method for smart grid based on belief rule base. [PDF]

Sci Rep
Li Y, Bai Y, Yang R, Feng Z, He W.
europepmc   +1 more source

Ensemble Model Based on Hybrid Deep Learning for Intrusion Detection in Smart Grid Networks. [PDF]

Sensors (Basel), 2023
AlHaddad U, Basuhail A, Khemakhem M, Eassa FE, Jambi K.   +4 more
europepmc   +1 more source

Electric vehicle requirements for operation in smart grids [PDF]

, 2011
Francesco Marra, Dario Sacchetti, Chresten Træholt, E. Larsen   +3 more
openalex   +1 more source

A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems

Advanced Intelligent Systems, EarlyView.
This article develops a novel feedback structure for machine learning‐based anomaly forecasting, by which both forecasting the future states and detecting the anomalies in these states can be achieved at the same time. The algorithm is shown to be applicable to power systems, verifying its effectiveness in detecting potential faults before they occur ...
Hyung Tae Choi, Hae Yeon Park, Taewan Kim, Jung Hoon Kim   +3 more
wiley   +1 more source

Revolutionizing smart grid security: a holistic cyber defence strategy. [PDF]

Front Artif Intell
Nemade B, Kishor Maharana K, Kulkarni V, Srivardhankumar C, Shelar M.   +4 more
europepmc   +1 more source