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Efficacy of tree-based models for pipe failure prediction and condition assessment: A comprehensive review
This paper provides a comprehensive review of tree-based models and their application in
condition assessment and prediction of water, wastewater, and sewer pipe failures. Tree …
condition assessment and prediction of water, wastewater, and sewer pipe failures. Tree …
[HTML][HTML] A comprehensive review on magnetically controllable reactor: Modelling, applications and future prospects
Renewable energy sources are commonly available on earth; thus, both research and
practical applications have drawn significant interest. In the large-scale renewable energy …
practical applications have drawn significant interest. In the large-scale renewable energy …
Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods
Outdoor insulators may experience stress due to severe environmental conditions, such as
pollution and contamination. Through the identification of partial discharges by ultrasonic …
pollution and contamination. Through the identification of partial discharges by ultrasonic …
[HTML][HTML] A novel algorithm for MPPT of an isolated PV system using push pull converter with fuzzy logic controller
Photovoltaic (PV) is a highly promising energy source because of its environment friendly
property. However, there is an uncertainty present in the modeling of PV modules owing to …
property. However, there is an uncertainty present in the modeling of PV modules owing to …
Demand-side-management-based bi-level intelligent optimal approach for cost-centric energy management of a microgrid system
Demand side management (DSM) separates elastic and inelastic loads and reorganizes a
distribution system's load demand model while reducing the overall cost of the operation …
distribution system's load demand model while reducing the overall cost of the operation …
The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China
T Feng, Z Zheng, J Xu, M Liu, M Li, H Jia… - Frontiers in public …, 2022 - frontiersin.org
Objective This cross-sectional research aims to develop reliable predictive short-term
prediction models to predict the number of RTIs in Northeast China through comparative …
prediction models to predict the number of RTIs in Northeast China through comparative …
[HTML][HTML] Thermodynamic, economic, and environmental performance comparison of typical geothermal power generation systems driven by hot dry rock
T Li, Q Liu, X Gao, N Meng, X Kong - Energy reports, 2022 - Elsevier
Hot dry rock has attracted broad attention due to its relatively high temperature and
abundant resources. To match the power generation system suitable for low dryness hot dry …
abundant resources. To match the power generation system suitable for low dryness hot dry …
Short term power dispatch using neural network based ensemble classifier
This work reports the application of ensemble artificial neural networks, a machine learning
technique, in the solution of short term optimal power generation on the IEEE 30-bus test …
technique, in the solution of short term optimal power generation on the IEEE 30-bus test …
Optimal rescheduling of generators to alleviate congestion in transmission system: A novel modified whale optimization approach
This manuscript proposes a novel modified whale optimization algorithm-based solution
approach for congestion controlling cost problem in power system framework. The integral …
approach for congestion controlling cost problem in power system framework. The integral …
Fast excitation control strategy for typical magnetically controllable reactor for reactive power compensation
Though the magnetically controllable reactor (MCR) has been used in dynamic reactive
power compensation of high voltage long distance transmission lines, its dynamic …
power compensation of high voltage long distance transmission lines, its dynamic …