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[HTML][HTML] A systematic review of big data innovations in smart grids
H Taherdoost - Results in Engineering, 2024 - Elsevier
Multiple industries have been revolutionized by the incorporation of data science
advancements into intelligent environment technologies, specifically in the context of smart …
advancements into intelligent environment technologies, specifically in the context of smart …
Impact of internet of things paradigm towards energy consumption prediction: A systematic literature review
YL Cheng, MH Lim, KH Hui - Sustainable Cities and Society, 2022 - Elsevier
The contribution of buildings to energy consumption (both residential and commercial) is
expected to gradually increase by 2040 in developed countries globally. Energy demand is …
expected to gradually increase by 2040 in developed countries globally. Energy demand is …
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier
COVID-19 infection is growing in a rapid rate. Due to unavailability of specific drugs, early
detection of (COVID-19) patients is essential for disease cure and control. There is a vital …
detection of (COVID-19) patients is essential for disease cure and control. There is a vital …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy
The outbreak of Coronavirus (COVID-19) has spread between people around the world at a
rapid rate so that the number of infected people and deaths is increasing quickly every day …
rapid rate so that the number of infected people and deaths is increasing quickly every day …
Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Early detection of COVID-19 patients is an important issue for treating and …
billions of people. Early detection of COVID-19 patients is an important issue for treating and …
[HTML][HTML] Impact of artificial intelligence on the planning and operation of distributed energy systems in smart grids
This review paper thoroughly explores the impact of artificial intelligence on the planning
and operation of distributed energy systems in smart grids. With the rapid advancement of …
and operation of distributed energy systems in smart grids. With the rapid advancement of …
Insight into breast cancer detection: new hybrid feature selection method
WM Shaban - Neural Computing and Applications, 2023 - Springer
Breast cancer, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …
common forms of the disease that affects females all over the world. The discovery of breast …
Smart grid and application of big data: Opportunities and challenges
A Mohanty, AK Ramasamy, R Verayiah, S Bastia… - Sustainable Energy …, 2024 - Elsevier
The rapid technological advancements in the electrical energy sector are generating a
significant volume of data that profoundly influences the operations of system operators, grid …
significant volume of data that profoundly influences the operations of system operators, grid …
Smart electrical grids based on cloud, IoT, and big data technologies: state of the art
The smart electrical grid (SEG), that utilizes information for creating a widely distributed
automated energy delivery network, is considered as an advanced digital 2-way power flow …
automated energy delivery network, is considered as an advanced digital 2-way power flow …