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Modelling of Thermostatically Controlled Loads to Analyse the Potential of Delivering FFR DSR with a Large Network of Compressor Packs.

, , , , , , and . EMS, page 163-167. IEEE, (2017)

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Erratum to "Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction"., , and . IEEE Trans. Instrumentation and Measurement, 63 (7): 1880 (2014)Unit Operational Pattern Analysis and Forecasting Using EMD and SSA for Industrial Systems., , , , , and . IDA, volume 7619 of Lecture Notes in Computer Science, page 416-423. Springer, (2012)Trend extraction based on Hilbert-Huang transform., , , , , and . CSNDSP, page 1-5. IEEE, (2012)Modelling of Thermostatically Controlled Loads to Analyse the Potential of Delivering FFR DSR with a Large Network of Compressor Packs., , , , , , and . EMS, page 163-167. IEEE, (2017)Applied fault detection and diagnosis for industrial gas turbine systems., , , and . Int. J. Autom. Comput., 14 (4): 463-473 (2017)Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation., , , , and . CIVEMSA, page 116-121. IEEE, (2013)Novelty detection based on extensions of GMMs for industrial gas turbines., , , and . CIVEMSA, page 1-5. IEEE, (2015)Extracting underlying trend and predicting power usage via joint SSA and sparse binary programming., , and . ISCAS, page 1312-1315. IEEE, (2013)Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction., , and . IEEE Trans. Instrumentation and Measurement, 62 (10): 2673-2682 (2013)Robust hierarchical clustering for novelty identification in sensor networks: With applications to industrial systems., and . Appl. Soft Comput., (2019)