Tyler McCandless

730 total citations
24 papers, 513 citations indexed

About

Tyler McCandless is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atmospheric Science. According to data from OpenAlex, Tyler McCandless has authored 24 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 10 papers in Atmospheric Science. Recurrent topics in Tyler McCandless's work include Solar Radiation and Photovoltaics (15 papers), Energy Load and Power Forecasting (14 papers) and Meteorological Phenomena and Simulations (9 papers). Tyler McCandless is often cited by papers focused on Solar Radiation and Photovoltaics (15 papers), Energy Load and Power Forecasting (14 papers) and Meteorological Phenomena and Simulations (9 papers). Tyler McCandless collaborates with scholars based in United States, Kuwait and Tunisia. Tyler McCandless's co-authors include Sue Ellen Haupt, George S. Young, Branko Kosović, Jared A. Lee, Pedro A. Jiménez, Stefano Alessandrini, Laura M. Hinkelman, Steven D. Miller, Matthew A. Rogers and Gerry Wiener and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Monthly Weather Review and Renewable Energy.

In The Last Decade

Tyler McCandless

23 papers receiving 499 citations

Peers

Tyler McCandless
Michaël Zamo France
Ana Gracia-Amillo Italy
Jared A. Lee United States
Martín Gastón Spain
Stephen Wilcox United States
Husain Alsamamra Palestinian Territory
Benoît Gschwind France
James Schlemmer United States
J.M. Vindel Spain
Eugenia Paulescu Romania
Michaël Zamo France
Tyler McCandless
Citations per year, relative to Tyler McCandless Tyler McCandless (= 1×) peers Michaël Zamo

Countries citing papers authored by Tyler McCandless

Since Specialization
Citations

This map shows the geographic impact of Tyler McCandless's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tyler McCandless with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler McCandless more than expected).

Fields of papers citing papers by Tyler McCandless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler McCandless. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tyler McCandless. The network helps show where Tyler McCandless may publish in the future.

Co-authorship network of co-authors of Tyler McCandless

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler McCandless. A scholar is included among the top collaborators of Tyler McCandless based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tyler McCandless. Tyler McCandless is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
McCandless, Tyler, et al.. (2020). Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction. Energies. 13(3). 689–689. 21 indexed citations
3.
Haupt, Sue Ellen, et al.. (2020). Combining Physical Modeling with Artificial Intelligence for Solar Power Forecasting. 2051–2053. 3 indexed citations
4.
Kosović, Branko, Pedro A. Jiménez, Tyler McCandless, et al.. (2020). Estimation Of Fuel Moisture Content by Integrating Surface and Satellite Observations Using Machine Learning. 3626–3628. 1 indexed citations
5.
McCandless, Tyler, et al.. (2020). Climatology of wind variability for the Shagaya region in Kuwait. Renewable and Sustainable Energy Reviews. 133. 110089–110089. 14 indexed citations
6.
Alessandrini, Stefano & Tyler McCandless. (2020). The Schaake Shuffle Technique to Combine Solar and Wind Power Probabilistic Forecasting. Energies. 13(10). 2503–2503. 17 indexed citations
7.
McCandless, Tyler & Pedro A. Jiménez. (2020). Examining the Potential of a Random Forest Derived Cloud Mask from GOES-R Satellites to Improve Solar Irradiance Forecasting. Energies. 13(7). 1671–1671. 19 indexed citations
8.
McCandless, Tyler, et al.. (2020). Enhancing wildfire spread modelling by building a gridded fuel moisture content product with machine learning. Machine Learning Science and Technology. 1(3). 35010–35010. 21 indexed citations
9.
Gagne, David John, Tyler McCandless, Branko Kosović, et al.. (2019). Machine Learning Parameterization of the Surface Layer: Bridging the Observation-Modeling Gap. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
McCandless, Tyler & Sue Ellen Haupt. (2019). The super-turbine wind power conversion paradox: using machine learning to reduce errors caused by Jensen's inequality. Wind energy science. 4(2). 343–353. 7 indexed citations
11.
Haupt, Sue Ellen, John K. Williams, Julia M. Pearson, et al.. (2017). Blending distributed photovoltaic and demand load forecasts. Solar Energy. 157. 542–551. 23 indexed citations
12.
Haupt, Sue Ellen, Branko Kosović, Tara Jensen, et al.. (2017). Building the Sun4Cast System: Improvements in Solar Power Forecasting. Bulletin of the American Meteorological Society. 99(1). 121–136. 64 indexed citations
13.
Haupt, Sue Ellen, John K. Williams, Julia M. Pearson, et al.. (2017). Notice of Removal Impact of distributed PV on demand load forecasts. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 1–6. 1 indexed citations
14.
McCandless, Tyler, George S. Young, Sue Ellen Haupt, & Laura M. Hinkelman. (2016). Regime-Dependent Short-Range Solar Irradiance Forecasting. Journal of Applied Meteorology and Climatology. 55(7). 1599–1613. 27 indexed citations
15.
Lee, Jared A., Sue Ellen Haupt, Pedro A. Jiménez, et al.. (2016). Solar Irradiance Nowcasting Case Studies near Sacramento. Journal of Applied Meteorology and Climatology. 56(1). 85–108. 36 indexed citations
16.
McCandless, Tyler, Sue Ellen Haupt, & George S. Young. (2015). A regime-dependent artificial neural network technique for short-range solar irradiance forecasting. Renewable Energy. 89. 351–359. 68 indexed citations
17.
McCandless, Tyler. (2015). Artificial intelligence techniques for short-range solar irradiance prediction.
18.
Lee, Jared A., et al.. (2012). An Objective Methodology for Configuring and Down-Selecting an NWP Ensemble for Low-Level Wind Prediction. Monthly Weather Review. 140(7). 2270–2286. 29 indexed citations
19.
McCandless, Tyler, Sue Ellen Haupt, & Stuart A. Young. (2011). STATISTICAL GUIDANCE METHODS FOR PREDICTING SNOWFALL ACCUMULATION IN THE NORTHEAST UNITED STATES. 35(2). 149–162. 4 indexed citations
20.
McCandless, Tyler, Sue Ellen Haupt, & George S. Young. (2011). The Effects of Imputing Missing Data on Ensemble Temperature Forecasts. Journal of Computers. 6(2). 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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