[PDF][PDF] Artificial neural network and its applications in the energy sector: an overview

DE Babatunde, A Anozie, J Omoleye - International Journal of Energy …, 2020 - zbw.eu
In order to realize the goal of optimal use of energy sources and cleaner environment at a
minimal cost, researchers; field professionals; and industrialists have identified the …

A simulation model to predict coal-fired power plant production rate using artificial neural network tool

R Kumar, K Nikam, R Jilte - … Vision and Image Processing: Proceedings of …, 2020 - Springer
At present, the performance evaluation of a coal-fired power plant is highly required to
enhance its efficiency. The present paper deals with the power prediction of a 600 million …

Performance prediction of a clean coal power plant via machine learning and deep learning techniques

M Haddadin, O Mohamed… - Energy & …, 2023 - journals.sagepub.com
Computer simulation of energy resources has led to significant achievements in the
interdisciplinary fields of energy and environment. Apart from renewable resources, fossil …

Performance Evaluation and Parametric Optimization of Coal‐Fired Water Tube Boiler Using the Grey‐Taguchi Method

I Talib, M Yasin, J Hussain… - International Journal of …, 2023 - Wiley Online Library
Industries, district heating companies, and public institutions that use boilers for heating,
processing, or power production find it challenging to run at peak efficiencies due to rising …

Enhancement of performance for steam turbine in thermal power plants using artificial neural network and electric circuit design

H Salim, K Faisal, R Jawad - … Computational Intelligence and …, 2018 - Wiley Online Library
Design and implantation of electric circuit for enhanced performance of steam power plant
and artificial neural networks technique are used to control turbine. Artificial neural networks …

[HTML][HTML] Learning-Based Approaches for Voltage Regulation and Control in DC Microgrids with CPL

M Güngör, ME Asker - Sustainability, 2023 - mdpi.com
This article introduces a novel approach to voltage regulation in a DC/DC boost converter.
The approach leverages two advanced control techniques, including learning-based …

Evaluation of the effects of optimization of gas boiler burner control by means of an innovative method of Fuel Input Factor

G Bartnicki, M Klimczak, P Ziembicki - Energy, 2023 - Elsevier
In the course of the research, the authors diagnosed the necessity to constantly search for
solutions increasing the efficiency of converting primary energy into useful energy, in …

[PDF][PDF] Comparison of open and closed gas turbine cycles

D Salma, V Mrzljak - Ri-STEM-2021, 2021 - bib.irb.hr
This paper presents an analysis and comparison of a real open and closed cycle gas turbine
process. Analysis is performed by using operating parameters of six different working …

[PDF][PDF] ANÁLISIS DE CALDERAS MEDIANTE MÉTODOS ESTADÍSTICO Y REDES NEURONALES

WV SILVA, LJ HOYOS, D ESCALANTE, EQ RANGEL - cimga.com
Este trabajo presenta los resultados del análisis operacional avanzado realizado a las
calderas de vapor (2954 y 2955) de la planta de Servicios Industriales Balance de la …

Application of Artificial Neural Network to Predicting Power Output of Thermal Powerplants

LT Nghĩa - The University of Danang-Journal of Science and … - neliti.com
Modeling thermal power plants is a challenging but rewarding problem. Common simulation
programs based on mathematical equations are highly complicated with numerous related …