Journal Article10.1016/S0360-1285(03)00058-3
Artificial intelligence for the modeling and control of combustion processes: a review
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TL;DR: How AI techniques might play an important role in modeling and prediction of the performance and control of combustion process is illustrated to testify to the potential of AI as a design tool in many areas of combustion engineering.
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About: This article is published in Progress in Energy and Combustion Science. The article was published on 01 Jan 2003. The article focuses on the topics: Expert system & Systems modeling.
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Citations
From driving cycle analysis to understanding battery performance in real-life electric hybrid vehicle operation
Bor Yann Liaw,Matthieu Dubarry +1 more
TL;DR: In this paper, the authors proposed a methodology and approach to understand battery performance and life through driving cycle and duty cycle analyses from electric and hybrid vehicle (EHV) operation in real-world situations.
132
Application Of Artificial Intelligence Methods In Drilling System Design And Operations: A Review Of The State Of The Art
Opeyemi Bello,J. Holzmann,Tanveer Yaqoob,Catalin Teodoriu +3 more
- 01 Apr 2015
TL;DR: The successful application of artificial intelligence techniques as related to one of the major aspects of the oil and gas industry, drilling capturing the level of application and trend in the industry is reviewed.
Dynamic modeling of NOX emission in a 660 MW coal-fired boiler with long short-term memory
TL;DR: In this article, a deep learning algorithm referred to as long short-term memory (LSTM) was introduced to predict the dynamics of NOX emission in a 660MW tangentially coal-fired boiler.
124
Artificial neural networks for vibration based inverse parametric identifications
Sazzad Hossain,Zhi Chao Ong,Zubaidah Ismail,Siamak Noroozi,Shin Yee Khoo +4 more
- 01 Mar 2017
TL;DR: This paper reviews some earlier researches where ANNs were applied to solve different vibration-based inverse parametric identification problems and the adoption of different ANN algorithms, input-output schemes and required signal processing were denoted in considerable detail.
Modeling and forecasting of cooling and electricity load demand
TL;DR: In this article, a generalized form of a Cochrane-Orcutt estimation technique that combines a multiple linear regression model and a seasonal autoregressive moving average model is proposed.
121
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