A survey on blockchain for big data: Approaches, opportunities, and future directions
Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …
the last few years. Despite many advantages and applications, there are many challenges in …
Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
Reinforcement learning for selective key applications in power systems: Recent advances and future challenges
With large-scale integration of renewable generation and distributed energy resources,
modern power systems are confronted with new operational challenges, such as growing …
modern power systems are confronted with new operational challenges, such as growing …
A multidirectional LSTM model for predicting the stability of a smart grid
The grid denotes the electric grid which consists of communication lines, control stations,
transformers, and distributors that aids in supplying power from the electrical plant to the …
transformers, and distributors that aids in supplying power from the electrical plant to the …
[HTML][HTML] A review of socio-technical barriers to Smart Microgrid development
Abstract Smart MicroGrids (SMGs) can be seen as a promising option when it comes to
addressing the urgent need for sustainable transition in electric systems from the current …
addressing the urgent need for sustainable transition in electric systems from the current …
Cyber-physical power systems: A comprehensive review about technologies drivers, standards, and future perspectives
MS Alvarez-Alvarado, C Apolo-Tinoco… - Computers and …, 2024 - Elsevier
The evolution of power systems into Cyber Physical Power Systems (CPPS), characterized
by the integration of information and communication technologies with traditional electrical …
by the integration of information and communication technologies with traditional electrical …
IoT and big data applications in smart cities: recent advances, challenges, and critical issues
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …
challenged by numerous technological, economic, and governmental obstacles. Moreover …
Design of reliable IoT systems with deep learning to support resilient demand side management in smart grids against adversarial attacks
Demand side management (DSM) has become one of the major concerns of the smart grids
to cope with the penetration of renewable energy. The availability of new communication …
to cope with the penetration of renewable energy. The availability of new communication …
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
Big data analysis technology for electric vehicle networks in smart cities
Z Lv, L Qiao, K Cai, Q Wang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
To explore the electric vehicle networks in smart cities through big data analysis technology,
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …