A systematic review of big data in energy analytics using energy computing techniques-Reference-Cited by-同舟云学术

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A systematic review of big data in energy analytics using energy computing techniques

Published:2021-10-05 Issue:4 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Dhanalakshmi J.¹^ORCID,Ayyanathan N.²

Affiliation:

1. Department of CSE B.S.Abdur Rahman Crescent Institute of Science and Technology Vandalur Tamil Nadu India

2. Department of Computer Applications B.S.Abdur Rahman Crescent Institute of Science and Technology Vandalur Tamil Nadu India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6647

Reference77 articles.

1. Technology trends analysis and forecasting application based on decision tree and statistical feature analysis

2. Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case

3. Effect of System Load Factor on Transmission & Distribution Losses

4. Personalized real time weatherforecasting with recommendations;Singh AK;International Journal of Advanced Computer Science and Applications,2013

5. Performance Comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in Searching Alternative Design in an Energy Simulation Tool

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1. A systematic literature review on machine learning applications at coal-fired thermal power plants for improved energy efficiency;International Journal of Sustainable Energy;2023-08-22

2. Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity;Energies;2023-06-08

3. A Novel Intelligent Method for Fault Diagnosis of Steam Turbines Based on T-SNE and XGBoost;Algorithms;2023-02-09

4. Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability;Sensors;2022-09-01

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