Big data driven smart energy management: From big data to big insights
K Zhou, C Fu, S Yang - Renewable and sustainable energy reviews, 2016 - Elsevier
Large amounts of data are increasingly accumulated in the energy sector with the
continuous application of sensors, wireless transmission, network communication, and cloud …
continuous application of sensors, wireless transmission, network communication, and cloud …
A survey on smart grid cyber-physical system testbeds
An increasing interest is emerging on the development of smart grid cyber-physical system
testbeds. As new communication and information technologies emerge, innovative cyber …
testbeds. As new communication and information technologies emerge, innovative cyber …
[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 …
A review of architectures and concepts for intelligence in future electric energy systems
T Strasser, F Andren, J Kathan, C Cecati… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
Renewable energy sources are one key enabler to decrease greenhouse gas emissions
and to cope with the anthropogenic climate change. Their intermittent behavior and limited …
and to cope with the anthropogenic climate change. Their intermittent behavior and limited …
On security challenges and open issues in Internet of Things
Abstract When Internet of Things (IoT) applications become a part of people's daily life,
security issues in IoT have caught significant attention in both academia and industry …
security issues in IoT have caught significant attention in both academia and industry …
Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The
current security tools are almost perfect when it comes to identifying and preventing known …
current security tools are almost perfect when it comes to identifying and preventing known …
An optimal and distributed demand response strategy with electric vehicles in the smart grid
In this paper, we propose a new model of demand response management for the future
smart grid that integrates plug-in electric vehicles and renewable distributed generators. A …
smart grid that integrates plug-in electric vehicles and renewable distributed generators. A …
A distributed algorithm of appliance scheduling for home energy management system
Demand side management encourages the users in a smart grid to shift their electricity
consumption in response to varying electricity prices. In this paper, we propose a distributed …
consumption in response to varying electricity prices. In this paper, we propose a distributed …
Big data issues in smart grids: A survey
M Ghorbanian, SH Dolatabadi… - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
The smart power systems are based upon information and communication technologies,
which lead to a deluge of data originating from various sources. To address these …
which lead to a deluge of data originating from various sources. To address these …
[HTML][HTML] Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart …
Abstract The integration of Smart Grid technology and conceptual Industry 5.0 has paved the
way for advanced energy management systems that enhance efficiency and revolutionized …
way for advanced energy management systems that enhance efficiency and revolutionized …