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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:

Integrating long-term economic scenarios into peak load forecasting: An application to Spain
Julián Moral Carcedo, Julián Pérez García
Energy (2017) Vol. 140, pp. 682-695
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island’s power system
Spyridon Chapaloglou, Athanasios Nesiadis, Petros Iliadis, et al.
Applied Energy (2019) Vol. 238, pp. 627-642
Open Access | Times Cited: 139
A hybrid data mining driven algorithm for long term electric peak load and energy demand forecasting
Mohammad-Rasool Kazemzadeh, Ali Amjadian, Turaj Amraee
Energy (2020) Vol. 204, pp. 117948-117948
Closed Access | Times Cited: 131
Long-term electricity load forecasting: Current and future trends
Karen Byskov Lindberg, Pernille Seljom, Henrik Madsen, et al.
Utilities Policy (2019) Vol. 58, pp. 102-119
Closed Access | Times Cited: 120
Long term load projection in high resolution for all countries globally
Alla Toktarova, Lotta Gruber, M. Hlusiak, et al.
International Journal of Electrical Power & Energy Systems (2019) Vol. 111, pp. 160-181
Open Access | Times Cited: 99
Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts
Karen Byskov Lindberg, Steffen J. Bakker, Igor Sartori
Utilities Policy (2019) Vol. 58, pp. 63-88
Open Access | Times Cited: 94
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng, et al.
Energy (2021) Vol. 239, pp. 122245-122245
Open Access | Times Cited: 75
Fuel cell electric vehicles and hydrogen balancing 100 percent renewable and integrated national transportation and energy systems
Vincent Oldenbroek, Siebren Wijtzes, Kornelis Blok, et al.
Energy Conversion and Management X (2021) Vol. 9, pp. 100077-100077
Open Access | Times Cited: 71
Long-term electricity forecasting for the industrial sector in western China under the carbon peaking and carbon neutral targets
Jinghan Zhou, Yongxiu He, Yuan Lyu, et al.
Energy Sustainable Development/Energy for sustainable development (2023) Vol. 73, pp. 174-187
Closed Access | Times Cited: 22
A systematic survey on demand response management schemes for electric vehicles
Riya Kakkar, Smita Agrawal, Sudeep Tanwar
Renewable and Sustainable Energy Reviews (2024) Vol. 203, pp. 114748-114748
Closed Access | Times Cited: 9
Long-term electricity consumption forecasting method based on system dynamics under the carbon-neutral target
Jinghua Li, Yichen Luo, Shanyang Wei
Energy (2021) Vol. 244, pp. 122572-122572
Closed Access | Times Cited: 47
Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China
Xin Fu, Xiao‐Jun Zeng, Pengpeng Feng, et al.
Energy (2018) Vol. 165, pp. 76-89
Open Access | Times Cited: 54
A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting
M. Rostam Niakan Kalhori, Iman Taheri, Faramarz Fallahi, et al.
Applied Energy (2022) Vol. 314, pp. 118975-118975
Closed Access | Times Cited: 22
A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions
Guanzhong Chen, Shengze Lu, Shiyu Zhou, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3086-3086
Open Access
The Electricity Load Prediction Model for Residential Buildings: A Critical Review of Output Types, Prediction Methods and Driving Factors
Zhenjing Wu, Min Qi, Weiling Zhang, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 925-925
Open Access
Hybrid model using three-stage algorithm for simultaneous load and price forecasting
Mehrdad Setayesh Nazar, Ashkan Eslami Fard, Alireza Heidari, et al.
Electric Power Systems Research (2018) Vol. 165, pp. 214-228
Closed Access | Times Cited: 42
Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance
Diego J. Pedregal, Juan R. Trapero
Applied Energy (2021) Vol. 298, pp. 117155-117155
Closed Access | Times Cited: 23
Modelling of unsuppressed electrical demand forecasting in Iraq for long term
Nooriya A. Mohammed
Energy (2018) Vol. 162, pp. 354-363
Closed Access | Times Cited: 30
Time of day effects of temperature and daylight on short term electricity load
Julián Moral Carcedo, Julián Pérez García
Energy (2019) Vol. 174, pp. 169-183
Open Access | Times Cited: 29
Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model
Swasti R. Khuntia, José L. Rueda, Mart A. M. M. van der Meijden
Energies (2018) Vol. 11, Iss. 12, pp. 3308-3308
Open Access | Times Cited: 25
Short-Term Power Load Forecasting Based on Cross Multi-Model and Second Decision Mechanism
Pan Zeng, Min Jin, Md Fazla Elahe
IEEE Access (2020) Vol. 8, pp. 184061-184072
Open Access | Times Cited: 23
Review of load data analytics using deep learning in smart grids: Open load datasets, methodologies, and application challenges
Md Fazla Elahe, Min Jin, Pan Zeng
International Journal of Energy Research (2021) Vol. 45, Iss. 10, pp. 14274-14305
Open Access | Times Cited: 18
GCC electrical long-term peak load forecasting modeling using ANFIS and MLR methods
Mohamed Y. Al-Hamad, Isa S. Qamber
Arab Journal of Basic and Applied Sciences (2019) Vol. 26, Iss. 1, pp. 269-282
Open Access | Times Cited: 21
High-Resolution Electricity Spot Price Forecast for the Danish Power Market
Jannik Schütz Roungkvist, Peter Enevoldsen, George Xydis
Sustainability (2020) Vol. 12, Iss. 10, pp. 4267-4267
Open Access | Times Cited: 17
Using fractional discrete Verhulst model to forecast Fujian's electricity consumption in China
Chenyu Zhou, Yun Shen, Haixin Wu, et al.
Energy (2022) Vol. 255, pp. 124484-124484
Closed Access | Times Cited: 10
Australia's long-term electricity demand forecasting using deep neural networks
Homayoun Hamedmoghadam, Nima Joorabloo, Mahdi Jalili
arXiv (Cornell University) (2018)
Open Access | Times Cited: 18
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