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Publication : energies (19961073)

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Academic Journal

Topology Identification of Low-Voltage Distribution Network Based on Deep Convolutional Time-Series Clustering.

Authors : Ni, Qingzhong¹ (AUTHOR) ; Jiang, Hui¹ (AUTHOR)

Source: Energies (19961073). Jun2023, Vol. 16 Issue 11, p4274. 12p.

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Academic Journal

A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting.

Authors : Masood, Zaki¹ (AUTHOR) ; Gantassi, Rahma¹ (AUTHOR); Ardiansyah¹ (AUTHOR)

Source: Energies (19961073). Apr2022, Vol. 15 Issue 7, p2623-N.PAG. 11p.

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Academic Journal

Battery Grouping with Time Series Clustering Based on Affinity Propagation.

Authors : Zhiwei He¹ ; Mingyu Gao¹ ; Guojin Ma¹

Source: Energies (19961073). Jul2016, Vol. 9 Issue 7, p561. 11p. 3 Diagrams, 2 Charts, 7 Graphs.

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Academic Journal

Smart Meters Time Series Clustering for Demand Response Applications in the Context of High Penetration of Renewable Energy Resources.

Authors : Bañales, Santiago^1,2 (AUTHOR) ; Dormido, Raquel¹ (AUTHOR) ; Duro, Natividad¹ (AUTHOR)

Source: Energies (19961073). Jun2021, Vol. 14 Issue 12, p3458. 1p.

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Academic Journal

Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid.

Authors : Son, Heung-gu¹ (AUTHOR) ; Kim, Yunsun² (AUTHOR) ; Kim, Sahm² (AUTHOR)

Source: Energies (19961073). May2020, Vol. 13 Issue 9, p2377. 1p. 1 Diagram, 10 Charts, 3 Graphs.

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Academic Journal

Simulation Study on the Electricity Data Streams Time Series Clustering.

Authors : Gajowniczek, Krzysztof¹ (AUTHOR) ; Bator, Marcin¹ (AUTHOR) ; Ząbkowski, Tomasz¹ (AUTHOR)

Source: Energies (19961073). Feb2020, Vol. 13 Issue 4, p924. 1p. 3 Diagrams, 1 Chart, 13 Graphs.

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Academic Journal

A Data-Driven Approach for Generating Vortex-Shedding Regime Maps for an Oscillating Cylinder.

Authors : Cann, Matthew¹ (AUTHOR) ; McConkey, Ryley¹ (AUTHOR); Lien, Fue-Sang¹ (AUTHOR)

Source: Energies (19961073). Jun2023, Vol. 16 Issue 11, p4440. 30p.

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Academic Journal

Advanced Spatial and Technological Aggregation Scheme for Energy System Models.

Authors : Patil, Shruthi¹ (AUTHOR) ; Kotzur, Leander¹ (AUTHOR); Stolten, Detlef^1,2 (AUTHOR)

Source: Energies (19961073). Dec2022, Vol. 15 Issue 24, p9517. 26p.

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Academic Journal

Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities.

Authors : Pérez-Chacón, Rubén¹ ; Luna-Romera, José M.² ; Troncoso, Alicia¹

Source: Energies (19961073). Mar2018, Vol. 11 Issue 3, p683. 19p.

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Academic Journal

An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures.

Authors : Panapakidis, Ioannis^1,2 ; Asimopoulos, Nikolaos¹ ; Dagoumas, Athanasios³

Source: Energies (19961073). Sep2017, Vol. 10 Issue 9, p1407. 42p.

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فلترة النتائج

Topology Identification of Low-Voltage Distribution Network Based on Deep Convolutional Time-Series Clustering.

A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting.

Battery Grouping with Time Series Clustering Based on Affinity Propagation.

Smart Meters Time Series Clustering for Demand Response Applications in the Context of High Penetration of Renewable Energy Resources.

Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid.

Simulation Study on the Electricity Data Streams Time Series Clustering.

A Data-Driven Approach for Generating Vortex-Shedding Regime Maps for an Oscillating Cylinder.

Advanced Spatial and Technological Aggregation Scheme for Energy System Models.

Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities.

An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures.

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