Big data-driven methods for gas turbine performance prediction and energy-saving control
Gas turbines are subject to fluctuations in performance and increased energy consumption in varying loads, environmental disturbances, and long term operating conditions. Traditional empirical control methods can not make full use of the temporal correlation information in multi-source operation data. Based on Distribu...