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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:

How good are TSO load and renewable generation forecasts: Learning curves, challenges, and the road ahead
Hussain Kazmi, Zhenmin Tao
Applied Energy (2022) Vol. 323, pp. 119565-119565
Open Access | Times Cited: 21

Showing 21 citing articles:

Harnessing eXplainable artificial intelligence for feature selection in time series energy forecasting: A comparative analysis of Grad-CAM and SHAP
Corne van Zyl, Xianming Ye, Raj Naidoo
Applied Energy (2023) Vol. 353, pp. 122079-122079
Open Access | Times Cited: 44
Optimal dispatch of a multi-energy system microgrid under uncertainty: A renewable energy community in Austria
Nikolaus Houben, Armin Cosic, Michael Städler, et al.
Applied Energy (2023) Vol. 337, pp. 120913-120913
Open Access | Times Cited: 36
A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata
Gabriel Kasmi, Yves‐Marie Saint‐Drenan, David Trebosc, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 34
Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
Hussain Kazmi, Chun Fu, Clayton Miller
Building and Environment (2023) Vol. 239, pp. 110407-110407
Open Access | Times Cited: 28
SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe
Joris Depoortere, Johan Driesen, Johan A. K. Suykens, et al.
International Journal of Forecasting (2025)
Closed Access
A hybrid physics-based and data-driven model for intra-day and day-ahead wind power forecasting considering a drastically expanded predictor search space
Nicolas Kirchner-Bossi, Gabriel Kathari, Fernando Porté‐Agel
Applied Energy (2024) Vol. 367, pp. 123375-123375
Open Access | Times Cited: 2
Quantifying residential energy flexibility potential for demand response programs using observational data from grid outages: Evidence from Pakistan
Hussain Kazmi, Fahad Mehmood, Maryam Shah
Energy Policy (2024) Vol. 188, pp. 114094-114094
Closed Access | Times Cited: 1
New Sites of Accumulation? Why Intangible Assets Matter for Energy Transitions
Silvia Weko
Review of Political Economy (2024), pp. 1-28
Closed Access | Times Cited: 1
Coherent description of 48 metrics to compare, validate and assess accuracy of building energy models and indoor environment simulations
Hicham Johra, Markus Schaffer, Gaurav Chaudhary, et al.
(2023)
Open Access | Times Cited: 4
Frequency Quality in Low-Inertia Power Systems
Taulant Kërçi, Manuel Hurtado, Mariglen Gjergji, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2023), pp. 1-5
Open Access | Times Cited: 4
A Survey on Machine Learning Applications in Renewable Energies Forecasting
Milad Mohabbati
Power systems (2024), pp. 305-326
Closed Access | Times Cited: 1
Beyond empirical risk: testing data-driven energy models in sparse and biased data regimes
Hussain Kazmi, Attila Bálint, Fuyang Jiang, et al.
(2024), pp. 692-695
Closed Access
Unified carbon emissions and market prices forecasts of the power grid
Roman Kohút, Martin Klaučo, Michal Kvasnica
Applied Energy (2024) Vol. 377, pp. 124527-124527
Closed Access
Enhancing the European Power System Resilience with a Recommendation System for Voluntary Demand Response
Carlos A. M. Silva, Ricardo J. Bessa, José Andrade, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111430-111430
Open Access
Deriving Input Variables through Applied Machine Learning for Short-Term Electric Load Forecasting in Eskilstuna, Sweden
Pontus Netzell, Hussain Kazmi, Konstantinos Kyprianidis
Energies (2024) Vol. 17, Iss. 10, pp. 2246-2246
Open Access
The potential of publicly available weather forecasts for market operations in aggregated photovoltaic plants
Agustín Agüera-Pérez, Manuel-Jesús Espinosa-Gavira, José-Carlos Palomares-Salas, et al.
Procedia Computer Science (2024) Vol. 237, pp. 6-11
Open Access
TulipaProfileFitting.jl: A Julia package for fitting renewable energy time series profiles
Diego A. Tejada‐Arango, Abel Soares Siqueira, Özge Özdemir, et al.
SoftwareX (2024) Vol. 27, pp. 101844-101844
Open Access
PyPVRoof: a Python package for extracting the characteristics of rooftop PV installations using remote sensing data
Yann Trémenbert, Gabriel Kasmi, Laurent Dubus, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Applied Machine Learning for Short-Term Electric Load Forecasting in Cities - A Case Study of Eskilstuna, Sweden
Pontus Netzell, Hussain Kazmi, Konstantinos Kyprianidis
Linköping electronic conference proceedings (2023) Vol. 200, pp. 29-38
Open Access | Times Cited: 1
On the Value of Emerging, Day-Ahead Market Related Wind-Storage Narratives in Greece: An Early Empirical Analysis
Stefanos Tampakakis, D. Zafirakis
Energies (2023) Vol. 16, Iss. 8, pp. 3506-3506
Open Access
Enhancing Short-Term Load Forecasting with Technical Indicators and Tree-structured Parzen Estimator
Jinxian Liu, Jenq‐Shiou Leu
(2023), pp. 1-6
Closed Access
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