Machine learning driven smart electric power systems: Current trends and new perspectives
MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
Big data analytics in smart grids: a review
Y Zhang, T Huang, EF Bompard - Energy informatics, 2018 - Springer
Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …
Driven by the development of information and communication technology, an information …
Faults in smart grid systems: Monitoring, detection and classification
AEL Rivas, T Abrao - Electric Power Systems Research, 2020 - Elsevier
Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …
improvement. SG implies real-time information with specific communication requirements …
Smart grid big data analytics: Survey of technologies, techniques, and applications
Smart grids have been gradually replacing the traditional power grids since the last decade.
Such transformation is linked to adding a large number of smart meters and other sources of …
Such transformation is linked to adding a large number of smart meters and other sources of …
An overview and comparative analysis of recurrent neural networks for short term load forecasting
The key component in forecasting demand and consumption of resources in a supply
network is an accurate prediction of real-valued time series. Indeed, both service …
network is an accurate prediction of real-valued time series. Indeed, both service …
Time-series classification methods: Review and applications to power systems data
Chapter Overview The diffusion in power systems of distributed renewable energy
resources, electric vehicles, and controllable loads has made advanced monitoring systems …
resources, electric vehicles, and controllable loads has made advanced monitoring systems …
Short-term electric load forecasting using echo state networks and PCA decomposition
In this paper, we approach the problem of forecasting a time series (TS) of an electrical load
measured on the Azienda Comunale Energia e Ambiente (ACEA) power grid, the company …
measured on the Azienda Comunale Energia e Ambiente (ACEA) power grid, the company …
A survey on intelligent system application to fault diagnosis in electric power system transmission lines
Fault analysis and diagnosis constitute a relevant problem in power systems, with important
economic impacts for operators, maintenance agents and the power industry in general …
economic impacts for operators, maintenance agents and the power industry in general …
The current state of the art in research on predictive maintenance in smart grid distribution network: Fault's types, causes, and prediction methods—A systematic …
MA Mahmoud, NR Md Nasir, M Gurunathan, P Raj… - Energies, 2021 - mdpi.com
With the exponential growth of science, Internet of Things (IoT) innovation, and expanding
significance in renewable energy, Smart Grid has become an advanced innovative thought …
significance in renewable energy, Smart Grid has become an advanced innovative thought …
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids
Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are
nowadays widely adopted as hybrid techniques in improving goods and services. In this …
nowadays widely adopted as hybrid techniques in improving goods and services. In this …