Author:
Kumar Ravinder,Nikam Keval,Jilte Ravindra
Reference25 articles.
1. Verma, V.S.: Adoption and introduction of supercritical technology in the power sector and consequential effects in operation, efficiency and carbon dioxide emission in the present context. In: Goel, M., Sudhakar, M. (eds.) Carbon Utilization, Green Energy and Technology, pp. 35–43. Springer, Singapore (2017)
2. Ianzhong Cui, X., Shin, K.G.: Contributed paper application of neural networks to temperature control in thermal power plants. Eng. Appl. Artif. lntell. 5(6), 527–538 (1992)
3. Azadeh, A., Ghaderi, S.F., Anvari, M., Saberi, M.: Performance assessment of electric power generations using an adaptive neural network algorithm. Energy Policy 35, 3155–3166 (2007)
4. Anead, H.S.: Evaluation and improvement performance of a boiler in a thermal power plant using artificial neural network. Eng. Technol. J. 36(6), 656–663 (2018)
5. Acır, A.: Application of artificial neural network to exergy performance analysis of coal fired thermal power plant. Int. J. Exergy 12(3), 362–379 (2013)
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