2022
DOI: 10.1016/j.measurement.2022.111405
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Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm

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Cited by 83 publications
(35 citation statements)
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“…e simulation of the algorithm is carried out under the software environment of matlab7.0. It refers to the setting of algorithm simulation conditions in the standard of EPC global Class 1 Generation2 and literature materials [20,21]. is simulation experiment does not consider factors such as communication control between the reader and the tag, redundancy check and system energy consumption, and simulates the ideal situation where the algorithm recognizes the tag.…”
Section: Rfid Tag Algorithm Based On Iotmentioning
confidence: 99%
“…e simulation of the algorithm is carried out under the software environment of matlab7.0. It refers to the setting of algorithm simulation conditions in the standard of EPC global Class 1 Generation2 and literature materials [20,21]. is simulation experiment does not consider factors such as communication control between the reader and the tag, redundancy check and system energy consumption, and simulates the ideal situation where the algorithm recognizes the tag.…”
Section: Rfid Tag Algorithm Based On Iotmentioning
confidence: 99%
“…e comprehensive energy systems are characterized by multienergy inputs and multienergy outputs [17]. In terms of energy output, the system uses the principle of energy cascade utilization to recycle and utilize the exhaust heat generated by the traditional generator set and then discharged through the absorption set.…”
Section: Structure Diagram Of Integrated Energy Systemsmentioning
confidence: 99%
“…The brain is a vast-scale system that connects a huge number of neural cells known as neurons. The brain has numerous interesting properties, such as parallel information processing, learning capacity, and self-organization capabilities, to name a few [ 46 , 47 , 108 , 126 , 127 , 128 ]. The ANN is a brain simulation that links numerous nonlinear or linear neuron models and analyzes data in a distributed, parallel fashion.…”
Section: Methodsmentioning
confidence: 99%