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:

A Comparative Study of Predictive Approaches for Load Forecasting in Smart Buildings
Soubhi Hadri, Y. NaitMalek, Mehdi Najib, et al.
Procedia Computer Science (2019) Vol. 160, pp. 173-180
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Smart buildings features and key performance indicators: A review
Joud Al Dakheel, Claudio Del Pero, N. Aste, et al.
Sustainable Cities and Society (2020) Vol. 61, pp. 102328-102328
Closed Access | Times Cited: 290
A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings
José Aguilar, Alberto Garcés-Jiménez, María D. R‐Moreno, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 151, pp. 111530-111530
Open Access | Times Cited: 150
Short-Term Electricity Load Forecasting with Machine Learning
Ernesto Aguilar Madrid, Nuno António
Information (2021) Vol. 12, Iss. 2, pp. 50-50
Open Access | Times Cited: 112
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 novel short-term load forecasting framework based on time-series clustering and early classification algorithm
Zhe Chen, Yongbao Chen, Tong Xiao, et al.
Energy and Buildings (2021) Vol. 251, pp. 111375-111375
Closed Access | Times Cited: 56
Direct short-term net load forecasting in renewable integrated microgrids using machine learning: A comparative assessment
Georgios Tziolis, Javier Lopez‐Lorente, Maria-Iro Baka, et al.
Sustainable Energy Grids and Networks (2023) Vol. 37, pp. 101256-101256
Open Access | Times Cited: 16
XGBoost-Based Day-Ahead Load Forecasting Algorithm Considering Behind-the-Meter Solar PV Generation
Dong-Jin Bae, Bo-Sung Kwon, Kyung‐Bin Song
Energies (2021) Vol. 15, Iss. 1, pp. 128-128
Open Access | Times Cited: 36
An Analysis of the Energy Consumption Forecasting Problem in Smart Buildings Using LSTM
Daniela Durand, José Aguilar, María D. R‐Moreno
Sustainability (2022) Vol. 14, Iss. 20, pp. 13358-13358
Open Access | Times Cited: 27
A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods
Mahziyar Dostmohammadi, Mona Zamani Pedram, Siamak Hoseinzadeh, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121264-121264
Open Access | Times Cited: 5
Application of supervised machine learning approaches for predicting household electricity consumption in Alexandria, Egypt
Nourhan H. Farag, Mohamed A. Abdrabo, Mohamed A. El-Iskandarani
Multidisciplinary Materials Chronicles. (2025), pp. 62-79
Closed Access
LightGBM-driven one-day-ahead electrical load forecasting for enhancing operational efficiency of a power distribution company of Bangladesh
Suvankar Biswas, Arup Kundu, Joyprokash Chakrabartty
Electrical Engineering (2025)
Closed Access
Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis
Amir Ghoshchi, Rahim Zahedi, Zahra Kazem Pour, et al.
Journal of Modern Green Energy (2022)
Open Access | Times Cited: 22
Using Stream Data Processing for Real-Time Occupancy Detection in Smart Buildings
Hamza Elkhoukhi, Mohamed Bakhouya, Driss El Ouadghiri, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2371-2371
Open Access | Times Cited: 21
Smart building trend, role, and position: a systematic literature review
Prasetya Cahya Saputra, Arief Ramadhan
International Journal of Reconfigurable and Embedded Systems (IJRES) (2023) Vol. 12, Iss. 1, pp. 29-29
Open Access | Times Cited: 9
Multi-Behavior with Bottleneck Features LSTM for Load Forecasting in Building Energy Management System
Bùi Văn Ga, Nam Tuan Le, Van Hoa Nguyen, et al.
Electronics (2021) Vol. 10, Iss. 9, pp. 1026-1026
Open Access | Times Cited: 19
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 7
Prediksi Kecelakaan Lalu Lintas di Bali dengan XGBoost pada Python
Ngakan Nyoman Pandika Pinata, I Made Sukarsa, Ni Kadek Dwi Rusjayanthi
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) (2020), pp. 188-188
Open Access | Times Cited: 20
MAPCAST: an Adaptive Control Approach using Predictive Analytics for Energy Balance in Micro-Grid Systems
Abdellatif Elmouatamid, Radouane Ouladsine, Mohamed Bakhouya, et al.
International Journal of Renewable Energy Research (2020), Iss. v10i2
Closed Access | Times Cited: 16
A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings
Daniel Ramos, Pedro Faria, Luís Gomes, et al.
IEEE Access (2022) Vol. 10, pp. 61366-61374
Open Access | Times Cited: 10
An end-to-end approach for scalable real time Anomaly detection in smart buildings
Evangelos Karakolis, Konstantinos Alexakis, Panagiotis Kapsalis, et al.
(2022), pp. 1-7
Open Access | Times Cited: 10
Novel multivariate compositional data’s model for structurally analyzing sub-industrial energy consumption with economic data
Hui Chen, Xinping Xiao, Jianghui Wen
Neural Computing and Applications (2020) Vol. 33, Iss. 8, pp. 3713-3735
Closed Access | Times Cited: 12
The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market
Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5797-5797
Open Access | Times Cited: 1
Comparative Analysis of Machine Learning Models for Short-Term Net Load Forecasting in Renewable Integrated Microgrids
Georgios Tziolis, Javier Lopez‐Lorente, Maria-Iro Baka, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 7
Dilated causal convolutional neural networks for forecasting zone airflow to estimate short-term energy consumption
Joseph Tully, Ryan Haight, Brian Hutchinson, et al.
Energy and Buildings (2023) Vol. 286, pp. 112890-112890
Open Access | Times Cited: 3
A MicroGrid System Infrastructure Implementing IoT/Big-Data Technologies for Efficient Energy Management in Buildings
Abdellatif Elmouatamid, Y. NaitMalek, Radouane Ouladsine, et al.
Green energy and technology (2021), pp. 571-600
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top