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Big Data Analytics for Dynamic Energy Management in Smart Grids
2015
Big Data Research
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This infrastructure permits the consumers and the micro-energy producers to take a more active role in the electricity market and the dynamic energy management (DEM). ...
Hence, robust data analytics, high performance computing, efficient data network management, and cloud computing techniques are critical towards the optimized operation of SGs. ...
Acknowledgement This work was supported by the project of "Scalable Real-Time Load Forecasting in Smart Grid" under a grant from the Khalifa University Internal Research Fund (KUIRF-Level 2; Fund # 210063 ...
doi:10.1016/j.bdr.2015.03.003
fatcat:2rz5wct5djfjhcec6xic5rnd3i
Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids
2018
International Journal of Engineering & Technology
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This paper aims focusthe issuesin big data and challenges experienced by the Dynamic Energy Management signed in Smart Grid. ...
Smart Grids are enhanced by the operations such as data analytics, giving out high performance estimation, Adequate data network management and cloud computing. ...
Conclusion This Proposed paper, has given outline for the state of work in Big Data Analytics in Dynamic Energy Management in modern Smart grid platforms. ...
doi:10.14419/ijet.v7i2.26.12540
fatcat:zsbccay5qzfurjdlgag5aw3v74
A Comprehensive Review on Sustainable Aspects of Big Data Analytics for Smart Grid
2021
Sustainability
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The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts ...
Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. ...
Big data analytics in data management for energy presumption. [96] Big data analytics in data management for energy presumption. ...
doi:10.3390/su132313322
fatcat:sb2v2q32nnc3fklnd3354tusta
A Survey on Realtime Analytics Framework for Smart Grid Energy Management
english
2015
International Journal of Innovative Research in Science, Engineering and Technology
english
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In this paper, we survey the existing methodologies and means for real time energy data management in smart grids. ...
Smart Grids are the most promising development in the energy and utilities market.Smart grids are being installed in many countries and it is expected to have multi-fold benefits in efficient energy management ...
It has been shown in [3] thateach time the system predictsdemandit is stored in any database for big data like Cassandra [13] and manage storage and retrieval using HDFS [14] .Static offline analytics ...
doi:10.15680/ijirset.2015.0403049
fatcat:setzhw425rggthl2v35i7xriyq
Big Data Analytics in Smart Grids: State-of-the-Art, Challenges, Opportunities, and Future Directions
2019
IET Smart Grid
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General guidelines for utilities to make the right investment in the adoption of big data analytics by unveiling interdependencies among critical infrastructures and operations are also provided. ...
As power grid technologies evolve in conjunction with measurement and communication technologies, this results in unprecedented amount of heterogeneous big data. ...
[152] proposed various steps in extracting information from big data for energy management in smart grids. ...
doi:10.1049/iet-stg.2018.0261
fatcat:e4bgzwgu2rfyzljc57xvmhhsca
Big Data management in smart grid: concepts, requirements and implementation
2017
Journal of Big Data
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In this paper, we provide an overview of data management for smart grids, summarise the added value of Big Data technologies for this kind of data, and discuss the technical requirements, the tools and ...
the main steps to implement Big Data solutions in the smart grid context. ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1186/s40537-017-0070-y
fatcat:cfpfielxorc7lfk6mqrsxmanhe
Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications
2020
IEEE Access
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Hence, the triumph of the smart grid energy paradigm depends on the factor of big data analytics. ...
Smart grids have been gradually replacing the traditional power grids since the last decade. ...
Applied solutions used for big data analytics in smart grids are detailed in section V. ...
doi:10.1109/access.2020.3041178
fatcat:awgtqx6nordadbtjn2a4v4nxe4
Big data management in smart grids: technologies and challenges
2021
IEEE Access
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This paper focuses on the study of big data management and proposes a management process to help manage the data in the grid. ...
Managing the data generated from the grid efficiently is the key to successful knowledge extraction from the smart grid big data. ...
SMART GRID DATA An automated big data management pipeline for a smart grid must have the following qualities: • The platform should be able to support the acquisition of dynamic data at variable rates ...
doi:10.1109/access.2021.3080433
fatcat:4o6n3cc76fhorij6jmz7vsiwh4
Cloud-Based Software Platform for Big Data Analytics in Smart Grids
2013
Computing in science & engineering (Print)
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Smart Grid information integration pipeline secure repository scalable machine-learning models demand forecasting portal KEYWORDS: ...
In the absence of computational and analytics support for automated decisions, the human grid operators are ill equipped to examine and utilize millions of data and control points for managing the dynamism ...
in energy usage patterns. ...
doi:10.1109/mcse.2013.39
fatcat:hmghi7utuvhlloikmfguryhc24
D8.1 - Impact assessment of big data and advanced analytics for energy services
2023
Zenodo
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Therefore, T8.1 will focus on the opportunities to use big data, advanced analytics, and open data to solve problems faced by the energy sector today. ...
The digital agenda in the energy sector is being driven by a combination of technologies, collection and use of data, and a more complex world demanding greater agility, speed, and digital competences. ...
energy demand, smart grids management, increased energy efficiency and optimised energy asset management. 1.2 Objective and scope of the Impact assessment of big data and advanced analytics for energy ...
doi:10.5281/zenodo.7657610
fatcat:ouxklzoxlrgm7ne4nygzdr4vfu
Big Data Analysis is used in Renewable Energy Power Generation
2017
International Journal of Computer Applications
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As per new technology big data analytic is playing vital role in all areas such as power industry, IT industry and many more. Now day's big data is also giving a proper backup in power industry. ...
In this paper we have proposed the new data collection technique for utilizing and managing the renewal energy and its integration with the power plant. ...
The data analytics shows the value of generated energy, load condition, delivered power and utilization factor. Peak hour & peak energy management .in Grid Company electricity charge is not the same. ...
doi:10.5120/ijca2017915333
fatcat:xpmgimr4ijc3jpvem4jndikpjm
Data-Intensive Computing in Smart Microgrids: Volume II
2022
Energies
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Power grids play an important role in modern societies by providing an uninterrupted energy supply and have become a key driving force behind the growth of the world's economies [...] ...
As part of smart grids, smart meters are installed in users' homes to collect their energy-consumption data, enabling data exchange between utilities and consumers [2] . ...
Smart systems make effective decisions by performing analytics based on various emerging technologies, e.g., big data analytics, blockchain, deep learning, and edge computing. ...
doi:10.3390/en15165833
fatcat:xvxeojzgsvel5bvwifz5j63qxa
Big Data Solutions for Efficient Operation of Microgrids
2019
Ovidius University Annals: Economic Sciences Series
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The main goal is to develop a smart adaptive platform for Big Data analytics for microgrids efficient operation that involves monitoring and control of electrical appliances, generation and storage activities ...
In this paper, we propose a big data solution architecture for the efficient operation of the microgrids that have emerged as a consequence of distributed generation, storage systems and advances of ICT ...
Also, in (Jiang et al., 2016) , the authors described and reviewed the concept of big data in smart grid, several big data architectures, recent studies and big data applications in energy, challenges ...
doaj:456d6a6a231548e3a0daf431964ec4c9
fatcat:eltztuswrradhnjrsro3v3ypgq
Plug-in Electric Vehicle to Cloud Data Analytics for Charging Management
2017
International Journal of Engineering and Technology
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Keyword-Big-Data, Range anxiety, Vehicle to Cloud, xEVs Charging Management I. INTRODUCTION The development agenda in smart cities primarily demand green technology transportation. ...
Robust data analytic tools and techniques supplemented with fast processing elements are required to manage and mine such datasets, with an aim to come up with a smart decision making paradigm [6], [7] ...
Authors in [8] addressed many intelligent algorithms for big data management in smart grids and smart meters but it demands implementation support for its feasibility. ...
doi:10.21817/ijet/2017/v9i3/170903s056
fatcat:6c3konyo6rb5rjofa54246smsq
Big Data & Analytics to Support the Renewable Energy Integration of Smart Grids - Case Study: Power Solar Generation
2017
Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
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In smart grid environment, the application of big data analytics based decision support and intelligent control are mainly in the following four aspects: power generation side management, micro grid and ...
The objective of this research is to present a technological infrastructure for the management of large volumes of information through Big Data tools to support the integration of renewable energy. ...
ACKNOWLEDGEMENTS The authors wish to thank Ernesto de la Peña, Department Head of Technical Services Unit of CFE for their important work in supporting, organizing and promoting the project. ...
doi:10.5220/0006297502670275
dblp:conf/iotbd/EscobedoJA17
fatcat:pse3qyibs5h2ld7ygqxqmuiozq
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