Fuzzy C-Means Clustering Applied to Load Profiling of Industrial Customers-Reference-Cited by-同舟云学术

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Fuzzy C-Means Clustering Applied to Load Profiling of Industrial Customers

Published:2021-07-21 Issue:11-12 Volume:49 Page:1068-1084
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Dedić Adisa¹,Konjić Tatjana²,Ćalasan Martin³,Dedić Zehrudin⁴

Affiliation:

1. Public Enterprise of Electric Power Industry of Bosnia and Herzegovina (BiH) – JP EP BiH, Tuzla, BiH

2. Faculty of Electrical Engineering, University of Tuzla, Tuzla, BiH

3. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

4. Deling d.o.o, Tuzla, BiH

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2022.2049660

Reference44 articles.

1. Technologies for Energy Saving in Industrial Field

2. Paris Agreement, United Nations 2015. https://unfccc.int/sites/default/files/english_paris_agreement.pdf

3. Feature based clustering technique for investigation of domestic load profiles and probabilistic variation assessment: Smart meter dataset

4. Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

5. Smart Grid: Overview, Issues and Opportunities. Advances and Challenges in Sensing, Modeling, Simulation, Optimization and Control

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1. Multifactor load modeling for smart grids: An urban area case study;Electric Power Systems Research;2024-08

2. A weighted integrated forecasting approach based on VMD decomposition reconstruction for high energy-consuming loads;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

3. Price-Based Demand Response: A Three-Stage Monthly Time-of-Use Tariff Optimization Model;Energies;2023-11-30

4. Evaluation of the Adjustable Potential of Industrial User Load Based on Electricity Data Mining;2023 IEEE Sustainable Power and Energy Conference (iSPEC);2023-11-28

5. Synthetic load profiles of non-energy intensive industrial sites: A combined bottom-up and top-down approach;Sustainable Energy, Grids and Networks;2023-09

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