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Comparison and clustering analysis of the daily electrical load in eight European countries
2016
Electric power systems research
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In particular, popular clustering algorithms like the Fuzzy c-Means, Spectral Clustering and Expectation Maximization are compared, and it is shown that the best results are obtained if the daily data ...
Such a feature-based clustering appears to outperform the clustering results obtained upon using other classic features, and also with respect to using other conventional compression methods, such as the ...
model is used for each cluster [18] . ...
doi:10.1016/j.epsr.2016.07.002
fatcat:u464acdysngc3nadpk7qi43m4y
Electricity Load Forecasting Using Data Mining Technique
[chapter]
2012
Advances in Data Mining Knowledge Discovery and Applications
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Fuad Jamaluddin from Utility of Malaysia for his valuable advice and help during completion of this research. Also to all my research members that give full commitments and cooperation. ...
Acknowledgement I wish to express my gratitude to honorable University (Universiti Teknikal Malaysia Melaka-UTeM) especially to Faculty of Electrical Engineering for give the financial as well as moral ...
The long term load forecasting predicts the load demand from a year up to twenty years and it is mainly for power system planning [1] . ...
doi:10.5772/48657
fatcat:j4gpqrea4jhs7niax2jxsgtsdu
Fuzzy Logic Based Coverage and Cost Effective Placement of Serving Nodes for 4G and Beyond Cellular Networks
2017
Wireless Communications and Mobile Computing
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This is preposterous on account of conventional base stations (BS) for which site procurement is costly. ...
The densification of serving nodes is one of the potential solutions to maximize the spectral efficiency per unit area. ...
Chang and Lin proposed a uniform clustering based eNB and RS placement approach for IEEE 802.16 j networks [9] . ...
doi:10.1155/2017/8086204
fatcat:kpdiumqab5gktdkzmagim23ehu
Load Profile Segmentation for Effective Residential Demand Response Program: Method and Evidence from Korean Pilot Study
2020
Energies
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Due to the heterogeneity of demand response behaviors among customers, selecting a suitable segment is one of the key factors for the efficient and stable operation of the demand response (DR) program. ...
In this study, we propose a new clustering method to segment customers more effectively in residential demand response programs and thereby, identify suitable customer targets in DR. ...
There are many methods for clustering such as k-means, SOM, fuzzy clustering, Gaussian Mixture Models (GMMs), and hierarchical clustering. ...
doi:10.3390/en13061348
fatcat:2w72ox3xk5esveazccecmfiubu
Editorial
2018
Journal of Intelligent & Fuzzy Systems
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and et al. proposes a computational approach on the basis of Spectral Clustering that uses Fuzzy c-Means for mining cholesterol and identify potential targets by extracting heterogeneous type of sequence ...
Next paper entitled "A Computational Approach for Mining Cholesterol and their Potential Target against GPCR Seven Helices based on Spectral Clustering and Fuzzy c-Means Algorithms" by Ramamani Tripathy ...
doi:10.3233/jifs-169562
fatcat:2qknpgafxjdaza2ppepzpwxreu
A comparative study of clustering techniques for electrical load pattern segmentation
2019
Renewable & Sustainable Energy Reviews
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To gain benefits for various stakeholders in power systems, proper data mining techniques, such as clustering, need to be employed to extract the underlying patterns from energy consumptions. ...
Smart meters have been widely deployed in power networks since the last decade. This trend has resulted in an enormous volume of data being collected from the electricity customers. ...
A hidden Markov model (HMM) framework is utilized to infer the occupancy states from consumption data. Spectral clustering is used to segment the collection of HMMs. ...
doi:10.1016/j.rser.2019.109628
fatcat:ajoogyl7d5htncrii3fd4ri6ka
Interference Mitigation in Heterogeneous Networks by Fuzzy Logic Based Coverage and SSMCR Approach
2018
International Journal for Research in Applied Science and Engineering Technology
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And all these together in one geographic region forms a heterogeneous network. ...
In a HetNet, macrocells and low-control hubs, for example, picocells, femtocells, and transfers, exist together with a specific end goal to convey the system nearer to the end clients. ...
Then the outermost UE's are identified and expelled from present serving Rs one by one until the power constraint gets fulfilled. ...
doi:10.22214/ijraset.2018.3436
fatcat:6aq7mljdwrdw5dl4jghel62hvi
Service Restoration through Microgrid Formation in Distribution Networks: A Review
2022
IEEE Access
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This review provides an excellent summary on service restoration through micrgrid formation, and offers a valuable reference for researchers working on grid modernization of distribution networks. ...
In this paper, different methods commonly used to partition a distribution network into multiple microgrids are presented, including the graph theory, heuristic rule-based algorithm, cluster-based technique ...
The cluster-based models can be categorized into 1) spectral clustering, 2) hierarchical algorithms, and 3) K-Means approach.
A. ...
doi:10.1109/access.2022.3171234
fatcat:vg4rxvfbfnez5ems22uyxjcqnu
Protect Mobile Travelers Information in Sensitive Region Based on Fuzzy Logic in IoT Technology
2020
Security and Communication Networks
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We evaluated our techniques over simulation results for sensitive region information built on fuzzy logic. ...
We proposed a novel design aimed at detecting a spoofing attack that inspects the probability distributions of received power founded for the regions designed for mobile (moving) users. ...
eventually reduces network life. is paper grants a fuzzy logic-based algorithm for cluster nodes (M). ...
doi:10.1155/2020/8897098
fatcat:x6smnxjvzfffrlzu2fqqijh2z4
Energy Efficient Evolved Node Base Station and Relay Station Placement Scheme for Green Cellular Networks
2018
International Journal of Intelligent Engineering and Systems
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An efficient modified uniform clustering based placement scheme is proposed in this work, which selects appropriate placement locations for eNB and RS from the candidate locations. ...
This work focuses on quality of service (QoS) improvement based on effective eNB and RS placement for green cellular networks. ...
Based on the UEs assigned to every cluster u Xv, the new MPs are identified in step 14 to 16. These steps are iterated until each UE is fixed to a particular cluster. ...
doi:10.22266/ijies2018.0430.14
fatcat:7f7ry3tbsbfibnadfqpbyuwf5e
Electric Load Clustering in Smart Grid: Methodologies, Applications, and Future Trends
2021
Journal of Modern Power Systems and Clean Energy
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Moreover, a variety of electric load clustering techniques have been put into practice to obtain the distribution of load data, observe the characteristics of load clusters, and classify the components ...
With the increasingly widespread of advanced metering infrastructure, electric load clustering is becoming more essential for its great potential in analytics of consumers' energy consumption patterns ...
HMM provides a good perspective to model the dynamic characteristics of the consumption behavior of power customers. It can well identify power consumption modes at different levels. ...
doi:10.35833/mpce.2020.000472
fatcat:w42xxiyr6fef7dm6l5dql5usiy
A CRITICAL ANALYSIS OF METHODOLOGIES FOR DETECTION AND CLASSIFICATION OF POWER QUALITY EVENTS IN SMART GRID
2021
IEEE Access
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A GA optimization based demand response control is proposed for grid power balance in peak demand of a building group [292] . ...
Hossain et al. presents a review on PQ issues in DG and mitigation techniques using custom power devices [71] . ...
doi:10.1109/access.2021.3087016
fatcat:ax3fld2mnvgxpksur6icrqhm2u
A data-mining-based methodology to support MV electricity customers' characterization
2015
Energy and Buildings
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, corresponding to the best consumers' segmentation, based on the assessments of several clustering validity indices; and finally, a classification model is built based on the resulting clusters. ...
The main idea is to identify typical load profiles (TLP) of MV consumers and to develop a rule set for the automatic classification of new consumers. ...
The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007-2013/ under project ELECON, REA grant ...
doi:10.1016/j.enbuild.2015.01.035
fatcat:lhndniigqfdezlyoxrwcioju7y
Application of artificial neural network in determining the fabric weave pattern
Primena veštačke neuralne mreže u određivanju obraza tkanja
2022
Zaštita Materijala
Primena veštačke neuralne mreže u određivanju obraza tkanja
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The approaches based on early machine learning algorithms directly depend on handcrafted features, which are time-consuming and occurs more errors. ...
In this review paper discussed about the study on the various neural network that are used for prediction of fabric weave pattern. ...
Fuzzy C-means clustering method A new robust recognition algorithm is proposed for fabric weave pattern recognition. ...
doi:10.5937/zasmat2203291d
fatcat:5yz7nfuoyfcbzdybwpxgwkucha
A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
2021
Energies
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Further, the use of AI to perform these tasks achieved a higher degree of accuracy and precision and is now a highly interesting topic. ...
The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. ...
Similarly, different interconnections in a power grid are analyzed, using a hierarchical spectral clustering methodology [28] . ...
doi:10.3390/en14154690
fatcat:o22dcbw3rbdp7jlr5jguftjgnq
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