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:

Probabilistic electric load forecasting through Bayesian Mixture Density Networks
Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli, et al.
Applied Energy (2022) Vol. 309, pp. 118341-118341
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications
Pu Chen, Linna Wu, Lei Wang
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10258-10258
Open Access | Times Cited: 51
Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System
Ping Ma, Shuhui Cui, Mingshuai Chen, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5809-5809
Open Access | Times Cited: 46
Multi-Term Electrical Load Forecasting of Smart Cities Using a New Hybrid Highly Accurate Neural Network-Based Predictive Model
Ashkan Safari, Hamed Kharrati, Afshin Rahimi
Smart Grids and Sustainable Energy (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 24
Automated detection and diagnosis of leak fault considering volatility by graph deep probability learning
Jihao Shi, Xinqi Zhang, Haoran Zhang, et al.
Applied Energy (2024) Vol. 361, pp. 122939-122939
Closed Access | Times Cited: 13
A novel time-series probabilistic forecasting method for multi-energy loads
Xiangmin Xie, Yuhao Ding, Yuanyuan Sun, et al.
Energy (2024) Vol. 306, pp. 132456-132456
Closed Access | Times Cited: 10
Probabilistic Multi-Energy Load Forecasting for Integrated Energy System Based on Bayesian Transformer Network
Chen Wang, Ying Wang, Zhetong Ding, et al.
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 2, pp. 1495-1508
Closed Access | Times Cited: 15
A Bayesian deep-learning framework for assessing the energy flexibility of residential buildings with multicomponent energy systems
Adamantios Bampoulas, Fabiano Pallonetto, Eleni Mangina, et al.
Applied Energy (2023) Vol. 348, pp. 121576-121576
Closed Access | Times Cited: 14
Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework
Peng Han, Jize Zhang
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110806-110806
Closed Access
Electricity demand forecasting and power supply planning under carbon neutral targets
Li Guangxiao, Yang Yilu, Zongjie Liu, et al.
Energy Reports (2025) Vol. 13, pp. 2740-2751
Closed Access
Transformer-based deep probabilistic network for load forecasting
Omar Bouhamed, Maher Dissem, Manar Amayri, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110781-110781
Open Access
AutoPQ: Automating quantile estimation from point forecasts in the context of sustainability
Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, et al.
Applied Energy (2025) Vol. 392, pp. 125931-125931
Open Access
Online decoupling feature framework for optimal probabilistic load forecasting in concept drift environments
Chaojin Cao, Yaoyao He, Xiaodong Yang
Applied Energy (2025) Vol. 392, pp. 125952-125952
Closed Access
Study on the Impact of Building Energy Predictions Considering Weather Errors of Neighboring Weather Stations
Guannan Li, Yong Wang, Chunzhi Zhang, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1157-1157
Open Access | Times Cited: 3
Industrial peak shaving with battery storage using a probabilistic forecasting approach: Economic evaluation of risk attitude
Sarah Henni, Jonas N. Becker, Philipp Staudt, et al.
Applied Energy (2022) Vol. 327, pp. 120088-120088
Open Access | Times Cited: 13
Probabilistic Intraday PV Power Forecast Using Ensembles of Deep Gaussian Mixture Density Networks
Oliver Doelle, Nico Klinkenberg, Arvid Amthor, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 646-646
Open Access | Times Cited: 7
A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy
Yi Yang, Qianyi Xing, Kang Wang, et al.
Applied Energy (2023) Vol. 356, pp. 122341-122341
Closed Access | Times Cited: 7
Short‐term electrical load forecasting model based on multi‐dimensional meteorological information spatio‐temporal fusion and optimized variational mode decomposition
Ling Yun Wang, Xiang Zhou, Honglei Xu, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 20, pp. 4647-4663
Open Access | Times Cited: 5
Correlation knowledge extraction based on data mining for distribution network planning
Zhifang Zhu, Zihan Lin, Liping Chen, et al.
Global Energy Interconnection (2023) Vol. 6, Iss. 4, pp. 485-492
Open Access | Times Cited: 4
Stress testing electrical grids: Generative Adversarial Networks for load scenario generation
Matteo Rizzato, Nicolas Morizet, William Maréchal, et al.
Energy and AI (2022) Vol. 9, pp. 100177-100177
Open Access | Times Cited: 7
A novel gated dual convolutional neural network model with autoregressive method and attention mechanism for probabilistic load forecasting
Yilei Qiu, Shunzhen Wang, Shuai Zhang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20256-20271
Closed Access | Times Cited: 3
Probabilistic Electricity Price Forecasting and Uncertainty Estimation Using Deep Bayesian Model with Multi-Distribution Fusion
Zhen Shao, Yating Han, Chao Fu, et al.
(2024)
Closed Access
Modeling stochastic renewable energy processes by combining the Monte Carlo method and mixture density networks
Deivis Ávila, Yanelys Cuba Arana, G.N. Marichal, et al.
Elsevier eBooks (2024), pp. 47-72
Closed Access
Research on Combination Forecasting Method of Short-Term Electric Load in Nuclear Power Industrial Park
Tao Zhang, Bo Shi, Zhijiang Wu, et al.
Lecture notes in electrical engineering (2024), pp. 584-592
Closed Access
Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level
Igor Manojlović, Goran Švenda, Aleksandar Erdeljan, et al.
IEEE Transactions on Smart Grid (2024) Vol. 16, Iss. 2, pp. 1938-1949
Closed Access
Probabilistic Forecasting of Multiple Plant Day-ahead Renewable Power Generation Sequences with Data Privacy Preserving
Hong Liu, Zijun Zhang
Energy and AI (2024), pp. 100463-100463
Open Access
Page 1 - Next Page

Scroll to top