Titlebook: Reconstruction and Intelligent Control for Power Plant; Chen Peng,Chuanliang Cheng,Ling Wang Book 2023 The Editor(s) (if applicable) and T

只看該作者 · 發(fā)表于 2025-3-25 06:42:41

Deep-Neural-Network Based Nonlinear Predictive Control for Power PlantThe dynamic economic optimization of ultra supercritical (USC) boiler-turbine unit has become an important task in modern power plants.

只看該作者 · 發(fā)表于 2025-3-25 11:15:37

只看該作者 · 發(fā)表于 2025-3-25 12:56:41

只看該作者 · 發(fā)表于 2025-3-25 17:08:38

http://image.papertrans.cn/r/image/824244.jpg

只看該作者 · 發(fā)表于 2025-3-25 23:33:24

只看該作者 · 發(fā)表于 2025-3-26 01:48:54

Fuzzy ,-Means Network Based Generalized Predictive Control for Power Plantsions. Due to the complexity of the system and the strong nonlinearity under large-scale load variations, conventional control methods are difficult to realize the coordinated control in the case of load tracking and power grid frequency disturbances.

只看該作者 · 發(fā)表于 2025-3-26 06:13:36

只看該作者 · 發(fā)表于 2025-3-26 09:21:55

只看該作者 · 發(fā)表于 2025-3-26 13:14:08

只看該作者 · 發(fā)表于 2025-3-26 20:02:27

ze the optimal learning of the characteristics of power plan.The authors‘ innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficie

		自動(dòng)登錄	找回密碼
密碼			To register

關(guān)于派博傳思			派博傳思旗下網(wǎng)站			友情鏈接
派博傳思介紹	公司地理位置	論文服務(wù)流程	影響因子官網(wǎng)	吾愛(ài)論文網(wǎng)	大講堂	北京大學(xué)	Oxford Uni.	Harvard Uni.
發(fā)展歷史沿革	期刊點(diǎn)評(píng)	投稿經(jīng)驗(yàn)總結(jié)	SCIENCEGARD	IMPACTFACTOR	派博系數(shù)	清華大學(xué)	Yale Uni.	Stanford Uni.
\|Archiver\|手機(jī)版\|小黑屋\| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-15 02:24
Copyright © 2001-2015 派博傳思京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved