[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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
programs based on mathematical equations are highly complicated with numerous related …