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:

Prediction of heating energy consumption with operation pattern variables for non-residential buildings using LSTM networks
Jihoon Jang, Jinmog Han, Seung-Bok Leigh
Energy and Buildings (2021) Vol. 255, pp. 111647-111647
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
Sadegh Afzal, Behrooz M. Ziapour, Afshar Shokri, et al.
Energy (2023) Vol. 282, pp. 128446-128446
Closed Access | Times Cited: 102
Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Dian Zhuang, Vincent J.L. Gan, Zeynep Duygu Tekler, et al.
Applied Energy (2023) Vol. 338, pp. 120936-120936
Closed Access | Times Cited: 100
Improving the prediction of heating energy consumed at residential buildings using a combination of support vector regression and meta-heuristic algorithms
Hamed Khajavi, Amir Rastgoo
Energy (2023) Vol. 272, pp. 127069-127069
Closed Access | Times Cited: 50
An evolutionary deep learning model based on EWKM, random forest algorithm, SSA and BiLSTM for building energy consumption prediction
Lei Lei, Suola Shao, Lixia Liang
Energy (2023) Vol. 288, pp. 129795-129795
Closed Access | Times Cited: 40
Implementation of deep learning methods in prediction of adsorption processes
Dorian Skrobek, Jarosław Krzywański, Marcin Sosnowski, et al.
Advances in Engineering Software (2022) Vol. 173, pp. 103190-103190
Closed Access | Times Cited: 61
Building Energy Prediction Models and Related Uncertainties: A Review
Jiaqi Yu, Wen‐Shao Chang, Yu Dong
Buildings (2022) Vol. 12, Iss. 8, pp. 1284-1284
Open Access | Times Cited: 46
A machine-learning ensemble model for predicting energy consumption in smart homes
Ishaani Priyadarshini, Sandipan Sahu, Raghvendra Kumar, et al.
Internet of Things (2022) Vol. 20, pp. 100636-100636
Closed Access | Times Cited: 43
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
Sadegh Afzal, Afshar Shokri, Behrooz M. Ziapour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107356-107356
Closed Access | Times Cited: 36
A hybrid forecasting method for cooling load in large public buildings based on improved long short term memory
Zongyi Liu, Junqi Yu, Chunyong Feng, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107238-107238
Closed Access | Times Cited: 25
Prophet-EEMD-LSTM based method for predicting energy consumption in the paint workshop
Yingkang Lu, Buyun Sheng, Gaocai Fu, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110447-110447
Closed Access | Times Cited: 21
Machine Learning Algorithms for Predicting Energy Consumption in Educational Buildings
Elhabyb Khaoula, Amine Baïna, Mostafa Bellafkih, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-19
Open Access | Times Cited: 9
Peak regulation strategies for ground source heat pump demand response of based on load forecasting: A case study of rural building in China
Qinglong Meng, Ying’an Wei, Jingjing Fan, et al.
Renewable Energy (2024) Vol. 224, pp. 120059-120059
Closed Access | Times Cited: 8
Comparison of algorithms for heat load prediction of buildings
Yongjie Wang, Changhong Zhan, Guanghao Li, et al.
Energy (2024) Vol. 297, pp. 131318-131318
Closed Access | Times Cited: 8
Investigating the deviation between prediction accuracy metrics and control performance metrics in the context of an ice-based thermal energy storage system
Xiao Wang, Xue Liu, Yanfang Wang, et al.
Journal of Energy Storage (2024) Vol. 91, pp. 112126-112126
Closed Access | Times Cited: 7
Investigation of a model predictive control (MPC) strategy for seasonal thermochemical energy storage systems in district heating networks
Zhichen Wei, Paige Wenbin Tien, John Kaiser Calautit, et al.
Applied Energy (2024) Vol. 376, pp. 124164-124164
Open Access | Times Cited: 7
SA–EMD–LSTM: A novel hybrid method for long-term prediction of classroom PM2.5 concentration
Erbiao Yuan, Guangfei Yang
Expert Systems with Applications (2023) Vol. 230, pp. 120670-120670
Closed Access | Times Cited: 20
Predicting energy consumption of chiller plant using WOA-BiLSTM hybrid prediction model: A case study for a hospital building
Yang Song, Hui Xie, Zhengwei Zhu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113642-113642
Closed Access | Times Cited: 20
A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks
Zhaoming Yang, Zhe Liu, Jing Zhou, et al.
Energy (2023) Vol. 278, pp. 127875-127875
Closed Access | Times Cited: 18
Forecasting heating and cooling loads in residential buildings using machine learning: a comparative study of techniques and influential indicators
Behrouz Mehdizadeh Khorrami, Alireza Soleimani, Anna Pinnarelli, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1163-1177
Open Access | Times Cited: 18
On the forecast control of heating system as an easily applicable measure to increase energy efficiency in existing buildings: Long term field evaluation
Tomasz Cholewa, A. Cholewa, Andrzej Smolarz, et al.
Energy and Buildings (2023) Vol. 292, pp. 113174-113174
Open Access | Times Cited: 17
Physics-guided LSTM model for heat load prediction of buildings
Yongjie Wang, Changhong Zhan, Guanghao Li, et al.
Energy and Buildings (2023) Vol. 294, pp. 113169-113169
Closed Access | Times Cited: 16
Toward Prediction of Energy Consumption Peaks and Timestamping in Commercial Supermarkets Using Deep Learning
Mengchen Zhao, Santiago Gomez-Rosero, Hooman Nouraei, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1672-1672
Open Access | Times Cited: 5
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 5
ANN based solar thermal energy forecasting model and its heating energy saving effect through thermal storage
Hung-Chan Jeon, Sang Hun Yeon, Jun Kyu Park, et al.
Applied Thermal Engineering (2025), pp. 125740-125740
Closed Access
A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption
Zhongjiao Ma, Z. Yan, M. He, et al.
AIMS energy (2025) Vol. 13, Iss. 1, pp. 35-85
Open Access
Page 1 - Next Page

Scroll to top