Matthew Lave

2.8k total citations · 1 hit paper
50 papers, 2.0k citations indexed

About

Matthew Lave is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Matthew Lave has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 26 papers in Renewable Energy, Sustainability and the Environment and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Matthew Lave's work include Solar Radiation and Photovoltaics (26 papers), Photovoltaic System Optimization Techniques (24 papers) and Solar Thermal and Photovoltaic Systems (20 papers). Matthew Lave is often cited by papers focused on Solar Radiation and Photovoltaics (26 papers), Photovoltaic System Optimization Techniques (24 papers) and Solar Thermal and Photovoltaic Systems (20 papers). Matthew Lave collaborates with scholars based in United States, Puerto Rico and Spain. Matthew Lave's co-authors include Jan Kleissl, Ery Arias-Castro, Matthew J. Reno, Joshua S. Stein, B. Washom, Chi‐Wai Chow, Anthony Dominguez, B. Urquhart, Janet E. Shields and Robert Broderick and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Renewable Energy.

In The Last Decade

Matthew Lave

48 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed

2011 446 citations Matthew Lave, Jan Kleissl et al. Solar Energy profile →

Peers

Matthew Lave

AI

RESE

EEE

CSE

GPC

Hans Georg Beyer Germany

Takashi Oozeki Japan

J. Antonanzas Spain

Anthony Florita United States

Yinghao Chu China

M.R.A. Calado Portugal

B. Washom United States

Kazuhiko Ogimoto Japan

José Pombo Portugal

A. Louche France

Hans Georg Beyer Germany

Matthew Lave

1.6k ×1.2

AI

1.4k ×1.2

RESE

1.2k ×1.3

EEE

163 ×0.5

CSE

363 ×2.2

GPC

Citations per year, relative to Matthew Lave Matthew Lave (= 1×) peers Hans Georg Beyer

Countries citing papers authored by Matthew Lave

Since Specialization

Citations

This map shows the geographic impact of Matthew Lave'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 Matthew Lave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lave more than expected).

Fields of papers citing papers by Matthew Lave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Lave. 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 Matthew Lave. The network helps show where Matthew Lave may publish in the future.

Co-authorship network of co-authors of Matthew Lave

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lave. A scholar is included among the top collaborators of Matthew Lave 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 Matthew Lave. Matthew Lave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Quiroz, Jimmy, et al.. (2024). An Assessment of Wind-Hybrid Microgrids in Puerto Rico Using Microgrid Design Toolkit. 1–6. 2 indexed citations

2.

Jones, C. Birk, et al.. (2022). Impact of Electric Vehicle customer response to Time-of-Use rates on distribution power grids. Energy Reports. 8. 8225–8235. 30 indexed citations

3.

Kleissl, Jan, et al.. (2022). Graph theory and nighttime imagery based microgrid design. Journal of Renewable and Sustainable Energy. 14(3).

4.

Jones, C. Birk, et al.. (2022). Impact of Electric Vehicle Customer Response to Time-of-Use Rates on Distribution Power Grids. SSRN Electronic Journal. 4 indexed citations

5.

O’Neill-Carrillo, Efraín, et al.. (2021). Systemwide Considerations for Electrification of Transportation in Islands and Remote Locations. SHILAP Revista de lepidopterología. 3(3). 498–511. 4 indexed citations

6.

Jones, C. Birk, Matthew Lave, Matthew J. Reno, et al.. (2020). Volt-Var Curve Reactive Power Control Requirements and Risks for Feeders with Distributed Roof-Top Photovoltaic Systems. Energies. 13(17). 4303–4303. 9 indexed citations

7.

Reno, Matthew J., et al.. (2019). Visualization Methods for Quasi-Static Time-Series (QSTS) Simulations with High PV Penetration. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 892–899.

8.

Stein, Joshua S., Daniel Riley, Matthew Lave, et al.. (2017). Outdoor Field Performance from Bifacial Photovoltaic Modules and Systems. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3184–3189. 37 indexed citations

9.

Johnson, Jay, et al.. (2017). Notice of Removal Photovoltaic frequency-watt curve design for frequency regulation and fast contingency reserves. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 7. 1–8. 1 indexed citations

10.

Riley, Daniel, Clifford Hansen, Joshua S. Stein, et al.. (2017). A Performance Model for Bifacial PV Modules. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3348–3353. 15 indexed citations

11.

Lave, Matthew, Matthew J. Reno, Robert Broderick, & Jouni Peppanen. (2017). Full-Scale Demonstration of Distribution System Parameter Estimation to Improve Low-Voltage Circuit Models. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 3025–3030. 5 indexed citations

12.

Lave, Matthew, Robert Broderick, & Matthew J. Reno. (2017). Solar variability zones: Satellite-derived zones that represent high-frequency ground variability. Solar Energy. 151. 119–128. 22 indexed citations

13.

Reno, Matthew J., Matthew Lave, Jimmy Quiroz, & Robert Broderick. (2016). PV ramp rate smoothing using energy storage to mitigate increased voltage regulator tapping. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2015–2020. 29 indexed citations

14.

Seuss, John, Matthew J. Reno, Matthew Lave, Robert Broderick, & Santiago Grijalva. (2016). Advanced inverter controls to dispatch distributed PV systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1387–1392. 27 indexed citations

15.

Lave, Matthew, et al.. (2016). On the ability of ground based global horizontal irradiance measurements to reduce error in satellite derived plane of array irradiance data for fixed tilt photovoltaic power plants. 297–300. 2 indexed citations

16.

Arias-Castro, Ery, Jan Kleissl, & Matthew Lave. (2014). A Poisson model for anisotropic solar ramp rate correlations. Solar Energy. 101. 192–202. 60 indexed citations

17.

Lave, Matthew & Robert Broderick. (2014). Characterizing local high-frequency solar variability for use in distribution studies. 1–3. 4 indexed citations

18.

Report, Sandia, Matthew Lave, Abraham Ellis, & Joshua S. Stein. (2013). Simulating Solar Power Plant Variability: A Review of Current Methods. 8 indexed citations

19.

Kleissl, Jan, et al.. (2012). Aggregate solar variability. 1–3. 11 indexed citations

20.

Lave, Matthew & Jan Kleissl. (2010). Optimum fixed orientations and benefits of tracking for capturing solar radiation in the continental United States. Renewable Energy. 36(3). 1145–1152. 151 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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