Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm

Y Zhao, LK Foong - Measurement, 2022 - Elsevier
Combined cycle power plants (CCPP) are among the most sophisticated, yet efficient,
systems for producing electrical energy. Hence, simulating their performance has been an …

An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration

W Qiao, Y Wang, J Zhang, W Tian, Y Tian… - Journal of Environmental …, 2021 - Elsevier
Wavelet transform (WT) is an advanced preprocessing technique, which has been widely
used in PM 10 prediction. However, this technique cannot provide stable performance due …

Fastest‐growing source prediction of US electricity production based on a novel hybrid model using wavelet transform

W Qiao, Z Li, W Liu, E Liu - International Journal of Energy …, 2022 - Wiley Online Library
Electricity is an important indicator for economic development, especially electricity
production (EP), which is electricity industry managers making strategic decisions. There are …

A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of US

W Qiao, W Liu, E Liu - Energy, 2021 - Elsevier
The prediction model's performance in view of the wavelet transform (WT) is affected
because the wavelet basis function (WBF) and its orders and layers are determined …

Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm

S Peng, R Chen, B Yu, M **ang, X Lin, E Liu - Journal of Natural Gas …, 2021 - Elsevier
With the opening of the third energy revolution, the booming development of the natural gas
industry in China has led to the existing pipeline network facilities no longer meeting the gas …

Machine learning methods for intrusive detection of wormhole attack in mobile ad hoc network (MANET)

M Abdan, SAH Seno - Wireless Communications and Mobile …, 2022 - Wiley Online Library
A wormhole attack is a type of attack on the network layer that reflects routing protocols. The
classification is performed with several methods of machine learning consisting of K‐nearest …

[HTML][HTML] Numerical simulation of solid particle erosion in the gas-liquid flow of key pipe fittings in shale gas fields

B Hong, Y Li, Y Li, J Gong, Y Yu, A Huang… - Case Studies in Thermal …, 2023 - Elsevier
Erosion caused by solid particles is one of the important reasons for the failure of shale gas
gathering pipelines. However, the erosion laws of right-angle pipe and blind tee were rarely …

[HTML][HTML] Experimental and numerical simulation study on the erosion behavior of the elbow of gathering pipeline in shale gas field

EB Liu, S Huang, DC Tian, LM Shi, SB Peng, H Zheng - Petroleum Science, 2024 - Elsevier
During the production period of shale gas, proppant particles and rock debris are produced
together, which will seriously erode the elbows of gathering pipelines. In response to this …

The erosion rate prediction for the elbow in shale gas gathering and transportation system: RSM and GA-BP-ANN modeling

M Chi, X Zeng, Y Gao, W Li, H Jiang, R Sun - Powder Technology, 2024 - Elsevier
Elbow erosion caused by sand mixed in shale gas is a significant issue faced by shale gas
gathering and transportation systems, posing a serious threat to the safe and stable …

[HTML][HTML] A TLBO-Tuned neural processor for predicting heating load in residential buildings

K Almutairi, S Algarni, T Alqahtani, H Moayedi… - Sustainability, 2022 - mdpi.com
Recent studies have witnessed remarkable merits of metaheuristic algorithms in
optimization problems. Due to the significance of the early analysis of the thermal load in …