Almost all of the energy consumption of Jet Pulsed Filters is due to their reverse jet bag cleaning system. However, they have been working with simple bag cleaning algorithms. In order to optimize their energy consumption, these filters could be operated using an advanced automation with an innovative dynamic algorithms. In this study, initially, nine different types of novel cleaning algorithms were tested for Jet Pulsed Filters in an industrial plant by using an advanced automation system under real operating conditions. Then, an optimized cleaning algorithm was developed to operate all these filters efficiently, thanks to the data obtained from the experiments. By using the proposed algorithm instead of the classical one; energy consumption of the filter, the energy consumed per cubic meter of produced cleaning air and the waste oil generation were decreased by 50.7%, 73.9% and 86.5%, respectively. A 29.4 degrees C reduction in the temperature of the blower oil was also detected involving the extension of the oil life span by 7.4 times. Moreover, the average noise level in the factory was reduced from 83 dB to 79 dB. In this purpose, the number of bags cleaned per hour and the cleaning air production were increased by 183% and 89%, respectively. (C) 2019 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.