A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …
as well as the prevalent use of Internet-based structures, new forms of power systems have …
[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation
To achieve low‐carbon sustainable energy development, new technologies such as Internet
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …
A comprehensive review of the load forecasting techniques using single and hybrid predictive models
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
Load forecasting models in smart grid using smart meter information: a review
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …
the reliability and sustainability of power supply by operating in self-control mode to find and …
An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network
In recent years, the penetration of solar power at residential and utility levels has progressed
exponentially. However, due to its stochastic nature, the prediction of solar global horizontal …
exponentially. However, due to its stochastic nature, the prediction of solar global horizontal …
Cyber-attack detection and cyber-security enhancement in smart DC-microgrid based on blockchain technology and Hilbert Huang transform
Due to the simultaneous development of DC-microgrids (DC-MGs) and the use of intelligent
control, monitoring and operation methods, as well as their structure, these networks can be …
control, monitoring and operation methods, as well as their structure, these networks can be …
Fault prediction based on leakage current in contaminated insulators using enhanced time series forecasting models
To improve the monitoring of the electrical power grid, it is necessary to evaluate the
influence of contamination in relation to leakage current and its progression to a disruptive …
influence of contamination in relation to leakage current and its progression to a disruptive …
Hybridization of hybrid structures for time series forecasting: A review
Achieving the desired accuracy in time series forecasting has become a binding domain,
and develo** a forecasting framework with a high degree of accuracy is one of the most …
and develo** a forecasting framework with a high degree of accuracy is one of the most …
Cooperative ensemble learning model improves electric short-term load forecasting
Efficient models for short-term load forecasting (STLF) plays a crucial role in establishing the
companies' energetic planning due to their importance in electric power distribution and …
companies' energetic planning due to their importance in electric power distribution and …