
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 Review of the Main Machine Learning Methods for Predicting Residential Energy Consumption
Alfonso González‐Briones, Guillermo Hernández, Tiago Pinto, et al.
2022 18th International Conference on the European Energy Market (EEM) (2019), pp. 1-6
Open Access | Times Cited: 21
Alfonso González‐Briones, Guillermo Hernández, Tiago Pinto, et al.
2022 18th International Conference on the European Energy Market (EEM) (2019), pp. 1-6
Open Access | Times Cited: 21
Showing 21 citing articles:
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
Ke Wang, Yafei Zhao, Rajan Kumar Gangadhari, et al.
Sustainability (2021) Vol. 13, Iss. 19, pp. 10983-10983
Open Access | Times Cited: 76
Ke Wang, Yafei Zhao, Rajan Kumar Gangadhari, et al.
Sustainability (2021) Vol. 13, Iss. 19, pp. 10983-10983
Open Access | Times Cited: 76
Evaluation of air temperature with machine learning regression methods using Seoul City meteorological data
Merve Apaydın, Mehmethan Yumuş, Ali Değırmencı, et al.
Pamukkale University Journal of Engineering Sciences (2022) Vol. 28, Iss. 5, pp. 737-747
Open Access | Times Cited: 16
Merve Apaydın, Mehmethan Yumuş, Ali Değırmencı, et al.
Pamukkale University Journal of Engineering Sciences (2022) Vol. 28, Iss. 5, pp. 737-747
Open Access | Times Cited: 16
A comprehensive framework for predicting electric vehicle's participation in ancillary service markets
Saeed Naghdizadegan Jahromi, Amir Abdollahi, Ehsan Heydarian‐Forushani, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 2
Saeed Naghdizadegan Jahromi, Amir Abdollahi, Ehsan Heydarian‐Forushani, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 2
Building Energy Consumption Forecasting: A Comparison of Gradient Boosting Models
Abnash Bassi, Anika Shenoy, Arjun V. Sharma, et al.
(2021) Vol. 11, pp. 1-9
Closed Access | Times Cited: 15
Abnash Bassi, Anika Shenoy, Arjun V. Sharma, et al.
(2021) Vol. 11, pp. 1-9
Closed Access | Times Cited: 15
Context-Aware Clustering and the Optimized Whale Optimization Algorithm: An Effective Predictive Model for the Smart Grid
Prashant Ahire, Pramod D. Patil
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 1, pp. 62-76
Open Access | Times Cited: 5
Prashant Ahire, Pramod D. Patil
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 1, pp. 62-76
Open Access | Times Cited: 5
CAC-WOA: context aware clustering with whale optimization algorithm for knowledge discovery from multidimensional space in electricity application
Prashant Ahire, Pramod D. Patil
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 499-513
Closed Access | Times Cited: 4
Prashant Ahire, Pramod D. Patil
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 499-513
Closed Access | Times Cited: 4
Machine learning insights into scapular stabilization for alleviating shoulder pain in college students
Omar M. Mabrouk, Doaa A. Abdel Hady, Tarek Abd El‐Hafeez
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Omar M. Mabrouk, Doaa A. Abdel Hady, Tarek Abd El‐Hafeez
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Energy Demand Forecasting: Avoiding Multi-collinearity
Meryem Nur Morgül Tumbaz, Mümtaz İpek
Arabian Journal for Science and Engineering (2020) Vol. 46, Iss. 2, pp. 1663-1675
Closed Access | Times Cited: 6
Meryem Nur Morgül Tumbaz, Mümtaz İpek
Arabian Journal for Science and Engineering (2020) Vol. 46, Iss. 2, pp. 1663-1675
Closed Access | Times Cited: 6
ANN‐Enhanced Energy Reference Models for Industrial Buildings: Multinational Company Case Study
Younes Ouaomar, Said Benkechcha, Mourad Kaddiri
Modelling and Simulation in Engineering (2024) Vol. 2024, Iss. 1
Open Access
Younes Ouaomar, Said Benkechcha, Mourad Kaddiri
Modelling and Simulation in Engineering (2024) Vol. 2024, Iss. 1
Open Access
Short-term multi-energy consumption forecasting for integrated energy system based on interactive multi-scale convolutional module
Zhiyuan Liu, Yucong Huang, Y Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Zhiyuan Liu, Yucong Huang, Y Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Predicting Locational Based Marginal Pricing (LBMP) Using Ridge Regression
Jörg Schmitz, Prakash Ranganathan
(2024), pp. 1-6
Closed Access
Jörg Schmitz, Prakash Ranganathan
(2024), pp. 1-6
Closed Access
Predicting Market Performance Using Machine and Deep Learning Techniques
Mohamed El Mahjouby, Mohamed Taj Bennani, Mohamed Lamrini, et al.
IEEE Access (2024) Vol. 12, pp. 82033-82040
Open Access
Mohamed El Mahjouby, Mohamed Taj Bennani, Mohamed Lamrini, et al.
IEEE Access (2024) Vol. 12, pp. 82033-82040
Open Access
Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches
Sania Khaskheli, Amjad Anvari‐Moghaddam
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11510-11510
Open Access
Sania Khaskheli, Amjad Anvari‐Moghaddam
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11510-11510
Open Access
Virtual agent organizations for user behaviour pattern extraction in energy optimization processes: A new perspective
Alfonso González‐Briones, Javier Prieto, Fernando De la Prieta, et al.
Neurocomputing (2020) Vol. 452, pp. 374-385
Open Access | Times Cited: 3
Alfonso González‐Briones, Javier Prieto, Fernando De la Prieta, et al.
Neurocomputing (2020) Vol. 452, pp. 374-385
Open Access | Times Cited: 3
Improved Energy Consumption Prediction using XGBoost with Hyperparameter tuning
R Yashaswini., S. Vinay
(2022), pp. 1-3
Closed Access | Times Cited: 2
R Yashaswini., S. Vinay
(2022), pp. 1-3
Closed Access | Times Cited: 2
Research on Forecast of Passenger Flow of High Speed Railway in Competitive Market Based on XGBoost Model
Han H, Junfeng Zhang, Meng Ge, et al.
(2020), pp. 110-113
Closed Access | Times Cited: 2
Han H, Junfeng Zhang, Meng Ge, et al.
(2020), pp. 110-113
Closed Access | Times Cited: 2
CAC-WOA: Context Aware Clustering with Whale Optimization Algorithm for Knowledge Discovery from Multidimensional Space in Electricity Application
Prashant Ahire, P.S. Patil
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Prashant Ahire, P.S. Patil
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts
Daniel Ramos, Pedro Faria, Luís Gomes, et al.
Lecture notes in computer science (2022), pp. 271-281
Closed Access | Times Cited: 1
Daniel Ramos, Pedro Faria, Luís Gomes, et al.
Lecture notes in computer science (2022), pp. 271-281
Closed Access | Times Cited: 1
A Machine Learning Approach to Evaluating the Relationship Between Dental Extraction and Craniofacial Growth in Adolescents
Guillermo Hernández, Alfonso González‐Briones, José Machado, et al.
Communications in computer and information science (2023), pp. 300-313
Closed Access
Guillermo Hernández, Alfonso González‐Briones, José Machado, et al.
Communications in computer and information science (2023), pp. 300-313
Closed Access
Energy Consumption Prediction Using Machine Learning Algorithms
Saneet Saluja, Sushila Palwe
(2023), pp. 1-6
Closed Access
Saneet Saluja, Sushila Palwe
(2023), pp. 1-6
Closed Access
Smart Home Energy Prediction with GRU Recurrent Neural Network Model
Dimpal Tomar, Jai Prakash Bhati, Pradeep Tomar
Algorithms for intelligent systems (2021), pp. 61-69
Closed Access
Dimpal Tomar, Jai Prakash Bhati, Pradeep Tomar
Algorithms for intelligent systems (2021), pp. 61-69
Closed Access