Implementation and visualization of artificial intelligent ventilation control system using fast prediction models and limited monitoring data

C Ren, SJ Cao - Sustainable Cities and Society, 2020 - Elsevier
… Therefore, we could consider that LLVM method was able to effectively obtain the discrete
distribution of CO 2 concentration produced by any pollutant source in the engineering …

Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation

S Taheri, A Razban - Building and Environment, 2021 - Elsevier
… : classical control methods, intelligent control approaches, and model predictive control (…
As such, we may argue that the cross-validation set reflects the model’s predictive capability (the …

[HTML][HTML] Intelligent control system and operational performance optimization of a municipal solid waste incineration power plant

M Zhu, Y Zhang - Fuel Processing Technology, 2024 - Elsevier
… an integrated intelligent control system in … control accuracy, economic performance and
environmental impact, including the intelligent combustion, intelligent denitrification, intelligent

Dynamic sensing and control system using artificial intelligent techniques for non-uniform indoor environment

HC Zhu, C Ren, SJ Cao - Building and Environment, 2022 - Elsevier
… -time regulation and intelligent control of indoor ventilation system … and implementation of
intelligent ventilation control systems. … [32], which is able to obtain the degree of membership of …

Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning

D Zhuang, VJL Gan, ZD Tekler, A Chong, S Tian, X Shi - Applied Energy, 2023 - Elsevier
… RL agent shows the flexibility of intelligent control for the ability to break through the limits of
… RL intelligent agent and the original PID control. The use of other intelligent control methods

Intelligent Control to Reduce Vehicle Energy Consumption and Greenhouse Gas Emissions

B Chen - Women in Mechanical Engineering: Energy and the …, 2022 - Springer
… are intelligent … , a control network is able to adopt newly developed control algorithms and
make adjustments in response to operational or task changes. To apply Mobile-C in intelligent

A collaborative predictive multi-agent system for forecasting carbon emissions related to energy consumption

SE Bouziane, MT Khadir… - Multiagent and Grid …, 2021 - content.iospress.com
… ANN is an artificial intelligence paradigm inspired by … widely used for forecasting, prediction,
and function approximation … models are able to give satisfying results in terms of predicting

Control of denitration system in cement calcination process: A Novel method of Deep Neural Network Model Predictive Control

Q Xu, X Hao, X Shi, Z Zhang, Q Sun, Y Di - Journal of Cleaner Production, 2022 - Elsevier
… This method is able to control the NOx and ammonia emissions at the reactor outlet in a
virtual environment, but it has the limitation of being in an ideal state and having no time delay …

[PDF][PDF] Intelligent control: an overview of techniques

KM Passino - … in control engineering: Technologies, applications …, 2001 - Citeseer
techniques used for intelligent control and discuss challenging industrial application domains
where these methods may … the above function approximation problem we are able to solve …

RBF neural network inferential sensor for process emission monitoring

SA Iliyas, M Elshafei, MA Habib, AA Adeniran - Control Engineering …, 2013 - Elsevier
… tool for building emission model and had better generalization ability and higher calculation
… pollutants emission. In: Proceedings of the third world congress on intelligent control and …