Novel Neural Network-Based Load Frequency Control Scheme: A Case Study of Restructured Power System

Autor: Nagendra Kumar, Hasmat Malik, Akhilesh Singh, Majed A. Alotaibi, Mohammed E. Nassar

Publikováno v: IEEE Access, Vol 9, Pp 162231-162242 (2021)

Nowadays, neural networks (NN) are being utilized in different control problems because of their excellent ability to model any nonlinear process. NN is suitable for the process having a wide range of operating conditions. In this work, the neural ne

Externí odkaz: https://doaj.org/article/72032ce4436748e3ab615170675ce659

Blockchain: Next Generation Supply Chain Security for Energy Infrastructure and NERC Critical Infrastructure Protection (CIP) Compliance

Autor: Michael Mylrea, Sri Nikhil Gupta Gourisetti

Publikováno v: Journal of Systemics, Cybernetics and Informatics, Vol 16, Iss 6, Pp 22-30 (2018)

The U.S. power grid is a complex system of systems that requires a secure, reliable and trustworthy global supply chain. This is especially true for the grid's increasing number of networked energy delivery system (EDS) and industrial control systems

Externí odkaz: https://doaj.org/article/57478c65f1164b309f8cbcfc2a8343d4

Quantifying metasomatic high-field-strength and rare-earth element transport from alkaline magmas

Autor: Krzysztof Sokół, Adrian A. Finch, William Hutchison, Jonathan Cloutier, Anouk M. Borst, Madeleine C.S. Humphreys

Publikováno v: Geology, 2022, Vol.50(3), pp.305-310 [Peer Reviewed Journal]

This work was supported by NERC IAPETUS DTP (ref: NE/L002590/1). A.A.F., W.H. and A.M.B. acknowledge support from the SoS RARE (ref: NE/M010856/1) and HiTech AlkCarb consortia of the EU Horizon 2020 R&I programme – grant 689909; W.H. also acknowled

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d129a801afcbad5d3e6a075dc61aa7
https://doi.org/10.1130/g49471.1

A Risk-Based Approach to Assess the Operational Resilience of Transmission Grids

Autor: Milorad Papic, Svetlana Ekisheva, Eduardo Cotilla-Sanchez

Publikováno v: Applied Sciences, Vol 10, Iss 14, p 4761 (2020)

Modern risk analysis studies of the power system increasingly rely on big datasets, either synthesized, simulated, or real utility data. Particularly in the transmission system, outage events have a strong influence on the reliability, resilience, an

Externí odkaz: https://doaj.org/article/36e785eaf34c4027bc02dd702fd408be

Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography

Autor: Oliver T. Bartlett, Timothy T. Barrows, Dustin M. Schroeder, E. Mackie, S. J. Palmer, Alastair G C Graham

Publikováno v: Bartlett, O T, Palmer, S J, Schroeder, D M, Mackie, E J, Barrows, T T & Graham, A G C 2020, ' Geospatial simulations of airborne ice-penetrating radar surveying reveal elevation under-measurement bias for ice-sheet bed topography ', Annals of Glaciology . https://doi.org/10.1017/aog.2020.35

Airborne radio-echo sounding (RES) surveys are widely used to measure ice-sheet bed topography. Measuring bed topography as accurately and widely as possible is of critical importance to modelling ice dynamics and hence to constraining better future

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e404c39f273a9ada294793e2acdf370e
https://doi.org/10.1017/aog.2020.35