Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An encoder–decoder LSTM-based EMPC framework applied to a building HVAC system
Matthew J. Ellis, Venkatesh Chinde
Process Safety and Environmental Protection (2020) Vol. 160, pp. 508-520
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A tutorial review of neural network modeling approaches for model predictive control
Yi Ren, Mohammed S. Alhajeri, Junwei Luo, et al.
Computers & Chemical Engineering (2022) Vol. 165, pp. 107956-107956
Open Access | Times Cited: 88
A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model
Xin Xin, Zhihao Zhang, Yong Zhou, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110013-110013
Closed Access | Times Cited: 23
Data-driven based HVAC optimisation approaches: A Systematic Literature Review
Maher Alaraj, Mohammed Radi, Maysam Abbod, et al.
Journal of Building Engineering (2021) Vol. 46, pp. 103678-103678
Closed Access | Times Cited: 62
Temporal deep learning architecture for prediction of COVID-19 cases in India
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Expert Systems with Applications (2022) Vol. 195, pp. 116611-116611
Open Access | Times Cited: 54
A comprehensive review of the applications of machine learning for HVAC
Siyang Zhou, A.A. Shah, Puiki Leung, et al.
DeCarbon (2023) Vol. 2, pp. 100023-100023
Open Access | Times Cited: 37
Model Predictive Control when utilizing LSTM as dynamic models
Marvin Jung, Paulo Renato da Costa Mendes, Magnus Önnheim, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106226-106226
Closed Access | Times Cited: 27
Online learning-enhanced data-driven model predictive control for optimizing HVAC energy consumption, indoor air quality and thermal comfort
Xinyi Sha, Zhenjun Ma, Subbu Sethuvenkatraman, et al.
Applied Energy (2025) Vol. 383, pp. 125341-125341
Open Access | Times Cited: 1
Machine learning modeling and predictive control of nonlinear processes using noisy data
Zhe Wu, David Rincón, Junwei Luo, et al.
AIChE Journal (2021) Vol. 67, Iss. 4
Open Access | Times Cited: 49
Fault detection and diagnosis of the air handling unit via an enhanced kernel slow feature analysis approach considering the time-wise and batch-wise dynamics
Hanyuan Zhang, Chengdong Li, Li Ding, et al.
Energy and Buildings (2021) Vol. 253, pp. 111467-111467
Closed Access | Times Cited: 43
Machine learning-based reduced-order modeling and predictive control of nonlinear processes
Tianyi Zhao, Yingzhe Zheng, Jinlong Gong, et al.
Process Safety and Environmental Protection (2022) Vol. 179, pp. 435-451
Open Access | Times Cited: 30
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics
Giuseppe Pinto, Riccardo Messina, Han Li, et al.
Energy and Buildings (2022) Vol. 276, pp. 112530-112530
Open Access | Times Cited: 29
Real-time machine-learning-based optimization using Input Convex Long Short-Term Memory network
Z. Y. Wang, Donghan Yu, Zhe Wu
Applied Energy (2024) Vol. 377, pp. 124472-124472
Closed Access | Times Cited: 5
Thermal error prediction for heavy-duty CNC machines enabled by long short-term memory networks and fog-cloud architecture
Yuchen Liang, Weidong Li, Ping Lou, et al.
Journal of Manufacturing Systems (2020) Vol. 62, pp. 950-963
Open Access | Times Cited: 49
Machine-learning-based state estimation and predictive control of nonlinear processes
Mohammed S. Alhajeri, Zhe Wu, David Rincón, et al.
Process Safety and Environmental Protection (2021) Vol. 167, pp. 268-280
Open Access | Times Cited: 37
Accurate storm surge forecasting using the encoder–decoder long short term memory recurrent neural network
Long-Hu Bai, Hang Xu
Physics of Fluids (2022) Vol. 34, Iss. 1
Closed Access | Times Cited: 27
Data-Driven Control: Overview and Perspectives
Wentao Tang, Pródromos Daoutidis
2022 American Control Conference (ACC) (2022), pp. 1048-1064
Closed Access | Times Cited: 23
A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
Luca Gugliermetti, Fabrizio Cumo, Sofia Agostinelli
Energies (2024) Vol. 17, Iss. 3, pp. 700-700
Open Access | Times Cited: 5
Investigation of data-driven model predictive control for liquid nitrogen cooling on helium refrigerator
Qiang Yu, Zhiwei Zhou, Kai Yuan, et al.
Fusion Engineering and Design (2025) Vol. 211, pp. 114792-114792
Closed Access
LSTM and GRU type recurrent neural networks in model predictive control: A Review
Maciej Ławryńczuk, Krzysztof Zarzycki
Neurocomputing (2025), pp. 129712-129712
Open Access
Investigations on machine learning-based control-oriented modeling using historical thermal data of buildings
Qingang Zhang, Yunqi Huang, Chin-Boon Chng, et al.
Building and Environment (2023) Vol. 243, pp. 110595-110595
Closed Access | Times Cited: 6
A hybrid machine learning approach integrating recurrent neural networks with subspace identification for modelling HVAC systems
Hesam Hassanpour, Prashant Mhaskar, Michael J. Risbeck
The Canadian Journal of Chemical Engineering (2022) Vol. 100, Iss. 12, pp. 3620-3634
Closed Access | Times Cited: 8
Deeppipe: An intelligent monitoring framework for operating condition of multi-product pipelines
Changjiang Wang, Jianqin Zheng, Yongtu Liang, et al.
Energy (2022) Vol. 261, pp. 125325-125325
Closed Access | Times Cited: 8
Model-predictive space heating control for energy flexibility – a case study using a long short-term memory neural network surrogate model and a genetic optimization algorithm
Samuel de Vries, Corine M. Laan, Pieter Bons, et al.
Journal of Building Performance Simulation (2024), pp. 1-20
Closed Access | Times Cited: 1
Thermal Error Prediction for Heavy-Duty CNC Machines Enabled by Long Short-Term Memory Networks and Fog-Cloud Architecture
Yuchen Liang, Weidong Li, Ping Lou, et al.
Springer series in advanced manufacturing (2021), pp. 125-150
Closed Access | Times Cited: 8
Developing a Long Short-Term Memory-Based Model for Forecasting the Daily Energy Consumption of Heating, Ventilation, and Air Conditioning Systems in Buildings
Luis Mendoza, Huriviades Calderón, José Manuel Gómez Pulido, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6722-6722
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top