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OpenAlex Citation Counts

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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:

Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review
Jason Runge, Radu Zmeureanu
Energies (2019) Vol. 12, Iss. 17, pp. 3254-3254
Open Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103406-103406
Open Access | Times Cited: 329
When pandemics impact economies and climate change: Exploring the impacts of COVID-19 on oil and electricity demand in China
Nima Norouzi, Gerardo Zarazua de Rubens, Saeed Choupanpiesheh, et al.
Energy Research & Social Science (2020) Vol. 68, pp. 101654-101654
Open Access | Times Cited: 294
State-of-the-art on research and applications of machine learning in the building life cycle
Tianzhen Hong, Zhe Wang, Xuan Luo, et al.
Energy and Buildings (2020) Vol. 212, pp. 109831-109831
Open Access | Times Cited: 259
Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency
Hooman Farzaneh, Ladan Malehmirchegini, Adrian Bejan, et al.
Applied Sciences (2021) Vol. 11, Iss. 2, pp. 763-763
Open Access | Times Cited: 181
Accuracy of different machine learning algorithms and added-value of predicting aggregated-level energy performance of commercial buildings
Shalika Walker, Waqas Khan, Katarina Katić, et al.
Energy and Buildings (2019) Vol. 209, pp. 109705-109705
Open Access | Times Cited: 154
Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review
Mohamad Hazwan Mohd Ghazali, Wan Rahiman
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 105
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
Load Forecasting Techniques and Their Applications in Smart Grids
Hany Habbak, Mohamed Mahmoud, Khaled Metwally, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1480-1480
Open Access | Times Cited: 92
Buildings' energy consumption prediction models based on buildings’ characteristics: Research trends, taxonomy, and performance measures
Amal A. Al-Shargabi, Abdulbasit Almhafdy, Dina M. Ibrahim, et al.
Journal of Building Engineering (2022) Vol. 54, pp. 104577-104577
Closed Access | Times Cited: 74
Shaping the future of sustainable energy through AI-enabled circular economy policies
Mir Sayed Shah Danish, Tomonobu Senjyu
Circular Economy (2023) Vol. 2, Iss. 2, pp. 100040-100040
Open Access | Times Cited: 58
A comparison of prediction and forecasting artificial intelligence models to estimate the future energy demand in a district heating system
Jason Runge, Étienne Saloux
Energy (2023) Vol. 269, pp. 126661-126661
Closed Access | Times Cited: 46
Load Forecasting with Machine Learning and Deep Learning Methods
Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7933-7933
Open Access | Times Cited: 41
A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms
Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Angela Amphawan
IEEE Access (2023) Vol. 11, pp. 1280-1294
Open Access | Times Cited: 40
Modeling energy-efficient building loads using machine-learning algorithms for the design phase
Flavian Emmanuel Sapnken, Mohammad M. Hamed, Božidar Soldo, et al.
Energy and Buildings (2023) Vol. 283, pp. 112807-112807
Closed Access | Times Cited: 40
An ensemble neural network model for predicting the energy utility in individual houses
Subra Kumaraswamy, K. Subathra, Dattathreya, et al.
Computers & Electrical Engineering (2024) Vol. 114, pp. 109059-109059
Closed Access | Times Cited: 18
Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.
Yang‐Seon Kim, Moon Keun Kim, Nuodi Fu, et al.
Sustainable Cities and Society (2024), pp. 105570-105570
Open Access | Times Cited: 18
Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability
Thanh Tuan Le, J. Chandra Priya, Huu Cuong Le, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 2
Open Access | Times Cited: 14
Towards developing a systematic knowledge trend for building energy consumption prediction
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Journal of Building Engineering (2020) Vol. 35, pp. 101967-101967
Open Access | Times Cited: 84
Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models
Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman Almutairi, et al.
Applied Sciences (2020) Vol. 10, Iss. 16, pp. 5627-5627
Open Access | Times Cited: 82
A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings
Jason Runge, Radu Zmeureanu
Energies (2021) Vol. 14, Iss. 3, pp. 608-608
Open Access | Times Cited: 76
A holistic review on energy forecasting using big data and deep learning models
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, GM Shafiullah, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 9, pp. 13489-13530
Open Access | Times Cited: 75
Machine learning for energy performance prediction at the design stage of buildings
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Energy Sustainable Development/Energy for sustainable development (2021) Vol. 66, pp. 12-25
Open Access | Times Cited: 67
Modelling of a multi-stage energy management control routine for energy demand forecasting, flexibility, and optimization of smart communities using a Recurrent Neural Network
Andrea Petrucci, Giovanni Barone, Annamaria Buonomano, et al.
Energy Conversion and Management (2022) Vol. 268, pp. 115995-115995
Closed Access | Times Cited: 59
Data-driven performance analysis of a residential building applying artificial neural network (ANN) and multi-objective genetic algorithm (GA)
Seyed Mohammad Ebrahimi Saryazdi, Alireza Etemad, Ali Shafaat, et al.
Building and Environment (2022) Vol. 225, pp. 109633-109633
Open Access | Times Cited: 58
Short-term renewable energy consumption and generation forecasting: A case study of Western Australia
Bilal Abu-Salih, Pornpit Wongthongtham, Gregory M. Morrison, et al.
Heliyon (2022) Vol. 8, Iss. 3, pp. e09152-e09152
Open Access | Times Cited: 57
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