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:

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

Showing 1-25 of 29 citing articles:

Electricity demand during pandemic times: The case of the COVID-19 in Spain
I. Santiago, Antonio Moreno‐Muñoz, P. Quintero-Jiménez, et al.
Energy Policy (2020) Vol. 148, pp. 111964-111964
Open Access | Times Cited: 211
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: 72
Heterogeneous climate change impacts on electricity demand in world cities circa mid-century
Yasmin Romitti, Ian Sue Wing
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 46
Energy and carbon footprints of wheat establishment following different rice residue management strategies vis-à-vis conventional tillage coupled with rice residue burning in north-western India
Pritpal Singh, Gurdeep Singh, G. P. S. Sodhi
Energy (2020) Vol. 200, pp. 117554-117554
Closed Access | Times Cited: 67
Nutrient Management Impacts on Nutrient Use Efficiency and Energy, Carbon, and Net Ecosystem Economic Budget of a Rice–Wheat Cropping System in Northwestern India
Pritpal Singh, Dinesh K. Benbi, Gayatri Verma
Journal of soil science and plant nutrition (2020) Vol. 21, Iss. 1, pp. 559-577
Closed Access | Times Cited: 65
Machine Learning Based Cost Effective Electricity Load Forecasting Model Using Correlated Meteorological Parameters
Muhammad Jawad, Malik Sajjad Ahmed Nadeem, Seong‐O Shim, et al.
IEEE Access (2020) Vol. 8, pp. 146847-146864
Open Access | Times Cited: 54
Energy optimization in wheat establishment following rice residue management with Happy Seeder technology for reduced carbon footprints in north-western India
Pritpal Singh, Gurdeep Singh, G. P. S. Sodhi, et al.
Energy (2021) Vol. 230, pp. 120680-120680
Closed Access | Times Cited: 35
Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach
Tomasz Jasiński
Energy (2020) Vol. 213, pp. 118784-118784
Open Access | Times Cited: 34
One-day-ahead electricity demand forecasting in holidays using discrete-interval moving seasonalities
Óscar Trull, J. Carlos Garcı́a-Dı́az, Alicia Troncoso
Energy (2021) Vol. 231, pp. 120966-120966
Open Access | Times Cited: 26
Electricity load dynamics, temperature and seasonality Nexus in Algeria
Naïma Chabouni, Yacine Belarbi, Wassim Benhassine
Energy (2020) Vol. 200, pp. 117513-117513
Closed Access | Times Cited: 23
Soil Management Vis-à-Vis Carbon Sequestration in Relation to Land Use Cover/Change in Terrestrial Ecosystem—A Review
Rajan Bhatt, Pritpal Singh, Gagandeep Kaur
(2022), pp. 43-78
Closed Access | Times Cited: 12
Low-cost and simple short-term load forecasting for energy management systems in small and middle-sized office buildings
Dongho Lee
Energy Exploration & Exploitation (2020) Vol. 39, Iss. 2, pp. 637-656
Open Access | Times Cited: 15
Automatic classification of special days for short-term load forecasting
Miguel López, Carlos Sans, S. Valero
Electric Power Systems Research (2021) Vol. 202, pp. 107533-107533
Open Access | Times Cited: 13
Beneficial Role of Microbial Diversity for Sustainable Agriculture
Sandeep Sharma, Kailash Chand Kumawat, Pritpal Singh
Springer eBooks (2023), pp. 587-613
Closed Access | Times Cited: 5
On kernel-based estimation of conditional Kendall’s tau: finite-distance bounds and asymptotic behavior
Alexis Derumigny, Jean‐David Fermanian
Dependence Modeling (2019) Vol. 7, Iss. 1, pp. 292-321
Open Access | Times Cited: 13
Comparison of Deep Learning Architectures for Short-Term Electrical Load Forecasting Based on Multi-Modal Data
Chelabi Hiba, Mohamed Tarek Khadir, B. Chikhaoui, et al.
Cybernetics & Systems (2021) Vol. 53, Iss. 1, pp. 186-207
Closed Access | Times Cited: 8
Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy
Miguel López, S. Valero, Carlos Sans, et al.
Energies (2020) Vol. 14, Iss. 1, pp. 95-95
Open Access | Times Cited: 7
Automatic Selection of Temperature Variables for Short-Term Load Forecasting
Alfredo Candela Esclapez, Miguel López, S. Valero, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13339-13339
Open Access | Times Cited: 4
A data-driven approach for the disaggregation of building-sector heating and cooling loads from hourly utility load data
Yinbo Hu, Michael Waite, Evan Patz, et al.
Energy Strategy Reviews (2023) Vol. 49, pp. 101175-101175
Open Access | Times Cited: 2
Applying Fuzzy Time Series for Developing Forecasting Electricity Demand Models
José-Miguel Rubio, José Rubio-Cienfuegos, Cristian Vidal-Silva, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3667-3667
Open Access | Times Cited: 2
Dynamic Modeling of Energy Demand in Educational Institutions Affected by Covid-19 and Energy Crisis
Negin Alisoltani, Elyes Nefzaoui, Latifa Oukhellou
(2024)
Open Access
Resilient Planning for Battery and Hydrogen Energy Storage in Power Systems Against Extreme Heatwave Events
Shiye Yan, Qinhan Yang, Yifan Zhang, et al.
(2024)
Closed Access
Spatial Meteorological, Socio-Economic, and Political Risks in Probabilistic Electricity Demand Forecasting
Monika Zimmermann, Florian Ziel
(2024)
Closed Access
Measuring aggregate electricity savings from the diffusion of more efficient lighting technologies
Julián Moral Carcedo, Julián Pérez García
Energy Efficiency (2021) Vol. 14, Iss. 7
Open Access | Times Cited: 3
Sensitivity Analysis of Exogenous Variables for Load Forecasting Using Polynomial Regression
Khansa Dab, Kodjo Agbossou, Alben Cardenas, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2019), pp. 2560-2565
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top