Short-term load forecasting using fuzzy logic and ANFIS.
- Published in:
- Neural Computing & Applications, 2015, v. 26, n. 6, p. 1355, doi. 10.1007/s00521-014-1809-4
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- Publication type:
- Article
Works matching DE "LOAD forecasting (Computer networks)"
Results: 17
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Applying the ensemble artificial neural network-based hybrid data-driven model to daily total load forecasting.
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- Neural Computing & Applications, 2015, v. 26, n. 3, p. 603, doi. 10.1007/s00521-014-1727-5
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- Article
3
Modeling Load and Overwork Effects in Queueing Systems with Adaptive Service Rates.
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- Operations Research, 2016, v. 64, n. 4, p. 867, doi. 10.1287/opre.2016.1499
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- Article
4
Short-Term Load Forecasting Based on Elastic Net Improved GMDH and Difference Degree Weighting Optimization.
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- Applied Sciences (2076-3417), 2018, v. 8, n. 9, p. 1603, doi. 10.3390/app8091603
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- Article
5
A CLUSTERING-BASED FUZZY WAVELET NEURAL NETWORK MODEL FOR SHORT-TERM LOAD FORECASTING.
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- International Journal of Neural Systems, 2013, v. 23, n. 5, p. 1350024-1, doi. 10.1142/S012906571350024X
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- Article
6
Performance comparisons of intelligent load forecasting structures and its application to energy-saving load regulation.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2013, v. 17, n. 10, p. 1797, doi. 10.1007/s00500-013-1021-y
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- Article
7
Application of Online SVR in Very Short-Term Load Forecasting.
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- International Review of Electrical Engineering, 2013, v. 8, n. 1, p. 277
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- Article
8
Operational Business Intelligence: Processing Mixed Workloads.
- Published in:
- IT Professional, 2013, v. 15, n. 5, p. 16, doi. 10.1109/MITP.2012.68
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- Article
9
Combining forecasts in short term load forecasting: Empirical analysis and identification of robust forecaster.
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- Sādhanā: Academy Proceedings in Engineering Sciences, 2016, v. 41, n. 10, p. 1123, doi. 10.1007/s12046-016-0542-3
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- Article
10
Cloud-based architecture for web applications with load forecasting mechanism: a use case on the e-learning services of a distant university.
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- Journal of Supercomputing, 2014, v. 68, n. 3, p. 1556, doi. 10.1007/s11227-014-1125-x
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- Article
11
A Short-Term Power Load Prediction Algorithm of Based on Power Load Factor Deep Cluster Neural Network.
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- Wireless Personal Communications, 2018, v. 102, n. 2, p. 1073, doi. 10.1007/s11277-017-5140-0
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- Article
12
Parameter Setting of Load Forecasting Model for Adjacent Base Stations of Mobile Communication Based on Particle Swarm Optimization.
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- Wireless Personal Communications, 2018, v. 102, n. 2, p. 1057, doi. 10.1007/s11277-017-5139-6
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- Article
13
ACCURACY OF ANN BASED DAY-AHEAD LOAD FORECASTING IN TURKISH POWER SYSTEM: DEGRADING AND IMPROVING FACTORS.
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- Neural Network World, 2015, n. 4, p. 443, doi. 10.14311/NNW.2015.25.023
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- Article
14
ANN based Short-Term Load Curve Forecasting.
- Published in:
- International Journal of Computers, Communications & Control, 2018, v. 13, n. 6, p. 938, doi. 10.15837/ijccc.2018.6.3385
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- Publication type:
- Article
15
Real-time cooling load forecasting using a hierarchical multi-class SVDD.
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- Multimedia Tools & Applications, 2014, v. 71, n. 1, p. 293, doi. 10.1007/s11042-013-1412-1
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- Article
16
DAILY NIGERIAN PEAK LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORK WITH SEASONAL INDICES.
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- Nigerian Journal of Technology, 2014, v. 33, n. 1, p. 114, doi. 10.4314/njt.v33i1.15
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- Article
17
Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network.
- Published in:
- Electronic Research Archive, 2024, v. 32, n. 11, p. 1, doi. 10.3934/era.2024296
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- Publication type:
- Article