[HTML][HTML] A survey on IoT-enabled smart grids: emerging, applications, challenges, and outlook
Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …
considerable efforts to make the electrical grid more intelligent and responsive to …
[HTML][HTML] A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networks
Various electric vehicle charging and discharging strategies (EVs) and V2G technologies
are discussed in this article as their impacts on energy distribution networks. The V2G …
are discussed in this article as their impacts on energy distribution networks. The V2G …
Blockchain for future smart grid: A comprehensive survey
The concept of smart grid has been introduced as a new vision of the conventional power
grid to figure out an efficient way of integrating green and renewable energy technologies. In …
grid to figure out an efficient way of integrating green and renewable energy technologies. In …
A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges
A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …
The will to foster and guide this phenomenon has been summarized in the expression …
Integrating blockchain technology into the energy sector—from theory of blockchain to research and application of energy blockchain
Q Wang, M Su - Computer Science Review, 2020 - Elsevier
Blockchain technology has been ushering in nothing short of a decentralized revolution.
Distributed/decentralized energy is recognized the best way to ensure energy sustainability …
Distributed/decentralized energy is recognized the best way to ensure energy sustainability …
[HTML][HTML] Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment
Smart meters are key elements of a smart grid. These data from Smart Meters can help us
analyze energy consumption behaviour. The machine learning and deep learning …
analyze energy consumption behaviour. The machine learning and deep learning …
Toward massive machine type communications in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions
The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …
devices is leading to the critical challenge of fulfilling diverse communication requirements …
[HTML][HTML] Energy management systems in sustainable smart cities based on the internet of energy: A technical review
In this paper, we exploit state-of-the-art energy management in sustainable smart cities
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …
Internet of things based smart grids supported by intelligent edge computing
In this paper, an edge computing system for IoT-based (Internet of Things) smart grids is
proposed to overcome the drawbacks in the current cloud computing paradigm in power …
proposed to overcome the drawbacks in the current cloud computing paradigm in power …
Data-driven dynamical control for bottom-up energy Internet system
With the increasing concern on climate change and global warming, the reduction of carbon
emission becomes an important topic in many aspects of human society. The development …
emission becomes an important topic in many aspects of human society. The development …