Hybrid-cloud-based data processing for power system monitoring in smart grids

M Talaat, AS Alsayyari, A Alblawi, AY Hatata - Sustainable Cities and …, 2020 - Elsevier
In this research, a complete vision of using the technology of the smart grid system with a
new communication, information technology techniques and devices has been investigated …

Generalized regression neural network for long-term electricity load forecasting

W Aribowo, S Muslim, I Basuki - 2020 International conference …, 2020 - ieeexplore.ieee.org
The availability of electricity demand is very high. Many households and industrial
equipment are using electricity as the source energy. The reliability of the power system in …

Analysis of dense-mesh distribution network operation using long-term monitoring data

M Ptacek, V Vycital, P Toman, J Vaculik - Energies, 2019 - mdpi.com
The technical and economic aspects and the possibility of the mesh network topology
offering many radial configurations lead to the fact that large municipal networks are …

The effect of system characteristics on very-short-term load forecasting

Y Loewenstern, L Katzir… - 2015 International School …, 2015 - ieeexplore.ieee.org
Over the past three decades, the number of papers published on Load Forecasting (LF) has
increased exponentially, largely due to the advance of Artificial-Intelligence/Machine …

[PDF][PDF] The effect of system characteristics on very-short-term load forecasting

L Katzir, Y Loewenstern, D Shmilovitz - Przegląd Elektrotechniczny, 2015 - Citeseer
The rise of the Smart Grid and Microgrid concepts require load demand control at short lead
times, at a resolution of minutes, leading to the need for Very Short Term Load Forecasting …

Multiple regimes in operation of the Swiss railway system and potential influences on power load

J Bosch, RM Füchslin, C Zaugg - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Analysis of the noise of a system is often an effective way to obtain information about its
internal dynamics. In this paper, an analysis of the variance of the noise on the power load …