Results 261 to 270 of about 1,689,679 (308)
Some of the next articles are maybe not open access.
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
IEEE transactions on engineering management, 2020In this paper, we propose a novel deep learning and blockchain-based energy framework for smart grids, entitled DeepCoin. The DeepCoin framework uses two schemes, a blockchain-based scheme and a deep learning-based scheme.
M. Ferrag, L. Maglaras
semanticscholar +1 more source
Smart Cities, Smart Grids, and Smart Grid Analytics
2018The introduction of the 21st century has experienced a growing trend in the number of people who choose to live within a city. Rapid urbanisation however, comes a variety of issues which are technical, social, physical and organisational in nature because of the complex gathering of large population numbers in such a spatially limited area.
Shaun Joseph Smyth +2 more
openaire +1 more source
Smart Grid Data Anonymization for Smart Grid Privacy
2014We present an approach to adopt the DB Anonymizer (Database Anonymizer) GE (Generic Enabler) in the context of a case study relating to a Smart Grid Charging Optimization System (COS) that has been developed using real time Electric Vehicle (EV) and Wind energy data. The paper takes consideration of DB Anonymizer GE software for data anonymization with
Shahidul Hoque +2 more
openaire +1 more source
2011 IEEE Consumer Communications and Networking Conference (CCNC), 2011
A feasible architectural framework for the smart grid in home areas is provided based on the latest NIST (National Institute of Standards and Technology, U.S.) smart grid interoperability standards (release 1.0). In this paper, we propose an accountable communication protocol using this architecture with certain reasonable assumptions. Analysis results
Jing Liu 0027 +2 more
openaire +1 more source
A feasible architectural framework for the smart grid in home areas is provided based on the latest NIST (National Institute of Standards and Technology, U.S.) smart grid interoperability standards (release 1.0). In this paper, we propose an accountable communication protocol using this architecture with certain reasonable assumptions. Analysis results
Jing Liu 0027 +2 more
openaire +1 more source
Applied Energy, 2020
Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation, delivery and use. To ensure stable and secure operation is essential for the smart grid, which needs effective stability analysis and control. As the smart grid
Zhongtuo Shi +7 more
semanticscholar +1 more source
Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation, delivery and use. To ensure stable and secure operation is essential for the smart grid, which needs effective stability analysis and control. As the smart grid
Zhongtuo Shi +7 more
semanticscholar +1 more source
IFAC Proceedings Volumes, 2012
The paper deals with activities towards a design of a methodology to stabilize already existing electrical grids and at the same time utilize the maximum of electrical energy from renewable electrical energy sources. The authors believe that the first step towards a methodology is to create a thorough model of the electrical grid with connecting most ...
Frantisek Zezulka +3 more
openaire +1 more source
The paper deals with activities towards a design of a methodology to stabilize already existing electrical grids and at the same time utilize the maximum of electrical energy from renewable electrical energy sources. The authors believe that the first step towards a methodology is to create a thorough model of the electrical grid with connecting most ...
Frantisek Zezulka +3 more
openaire +1 more source
Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids
IEEE Transactions on Industrial Informatics, 2020The extensive deployment of smart meters in millions of households provides a huge amount of individual electricity consumption data for demand side analysis at a fine granularity. Different from traditional aggregated system-level data, smart meter data
Yandong Yang +3 more
semanticscholar +1 more source
Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids
IEEE Transactions on Industrial Informatics, 2018Electricity theft is harmful to power grids. Integrating information flows with energy flows, smart grids can help to solve the problem of electricity theft owning to the availability of massive data generated from smart grids.
Zibin Zheng +4 more
semanticscholar +1 more source
Smart “Stick-on” Sensors for the Smart Grid
IEEE Transactions on Smart Grid, 2012Rapid increase in electric power demand, introduction of RPS mandates, and a push towards electrification in the transportation sector is expected to increase power system stresses and disturbances. To tackle these power system issues and maintain high system reliability, it is essential to have information about the condition of assets present on the ...
Rohit Moghe +2 more
openaire +1 more source
Communications of the ACM, 2010
Sensor networks monitor residential and institutional devices, motivating energy conservation.
openaire +1 more source
Sensor networks monitor residential and institutional devices, motivating energy conservation.
openaire +1 more source

