D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 58 Citations 10,233 209 World Ranking 1224 National Ranking 494
Environmental Sciences D-index 51 Citations 8,248 179 World Ranking 2352 National Ranking 1041

Research.com Recognitions

Awards & Achievements

2008 - Hellman Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Meteorology
  • Statistics
  • Optics

His primary areas of study are Meteorology, Photovoltaic system, Irradiance, Remote sensing and Solar irradiance. The Meteorology study combines topics in areas such as Cloud cover, Image persistence and Solar zenith angle. His study in Cloud cover is interdisciplinary in nature, drawing from both Pyranometer and Numerical weather prediction.

His Photovoltaic system study incorporates themes from Power, Peak demand, Automotive engineering, Linear programming and Pv power. He focuses mostly in the field of Irradiance, narrowing it down to matters related to Time series and, in some cases, Electric power. His Remote sensing research integrates issues from Power output, Pixel, Smoothness and Albedo.

His most cited work include:

  • Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed (421 citations)
  • Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States (260 citations)
  • Storage Size Determination for Grid-Connected Photovoltaic Systems (223 citations)

What are the main themes of his work throughout his whole career to date?

Jan Kleissl mainly investigates Meteorology, Photovoltaic system, Atmospheric sciences, Remote sensing and Irradiance. His Meteorology research includes elements of Cloud cover and Satellite. His Photovoltaic system research incorporates themes from Power, Solar power, Control theory, Grid-connected photovoltaic power system and Solar energy.

Within one scientific family, he focuses on topics pertaining to Boundary layer under Atmospheric sciences, and may sometimes address concerns connected to Heat flux. His work carried out in the field of Remote sensing brings together such families of science as Sensible heat, Sky, Pixel, Evapotranspiration and METAR. His Irradiance research is multidisciplinary, incorporating perspectives in Solar irradiance and Power station.

He most often published in these fields:

  • Meteorology (33.75%)
  • Photovoltaic system (23.33%)
  • Atmospheric sciences (18.75%)

What were the highlights of his more recent work (between 2017-2021)?

  • Photovoltaic system (23.33%)
  • Control theory (10.00%)
  • Voltage (6.67%)

In recent papers he was focusing on the following fields of study:

Jan Kleissl spends much of his time researching Photovoltaic system, Control theory, Voltage, Meteorology and Distributed generation. His work deals with themes such as Power, Solar irradiance and Pv power, which intersect with Photovoltaic system. His Control theory study integrates concerns from other disciplines, such as Voltage regulation and Energy storage.

Meteorology is closely attributed to Irradiance in his study. The various areas that Jan Kleissl examines in his Irradiance study include Scientific method, Forecast skill, Remote sensing and Dissipation. His work carried out in the field of Distributed generation brings together such families of science as Missing data, Database, Mathematical optimization, Electrical impedance and Microgrid.

Between 2017 and 2021, his most popular works were:

  • History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining (160 citations)
  • Optimal OLTC voltage control scheme to enable high solar penetrations (30 citations)
  • Operational solar forecasting for the real-time market (28 citations)

In his most recent research, the most cited papers focused on:

  • Meteorology
  • Statistics
  • Optics

His main research concerns Photovoltaic system, Meteorology, Reduction, Control theory and Sky. His Photovoltaic system research includes themes of Solar irradiance, Pv power and Text mining. He specializes in Meteorology, namely Numerical weather prediction.

He interconnects Marine layer, Irradiance, Weather Research and Forecasting Model and Solar energy in the investigation of issues within Numerical weather prediction. His Control theory research includes elements of Electrical impedance, Optimization problem, Distributed generation and Voltage. Jan Kleissl has included themes like Cloud height, Remote sensing, Radiance and Tomography, Algebraic Reconstruction Technique in his Sky study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Chi Wai Chow;Bryan Urquhart;Matthew Lave;Anthony Dominguez.
Solar Energy (2011)

610 Citations

Storage Size Determination for Grid-Connected Photovoltaic Systems

Yu Ru;J. Kleissl;S. Martinez.
IEEE Transactions on Sustainable Energy (2013)

415 Citations

Solar Energy Forecasting and Resource Assessment

Jan Kleissl.
(2013)

403 Citations

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States

Patrick Mathiesen;Jan Kleissl.
Solar Energy (2011)

373 Citations

History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

Dazhi Yang;Jan Kleissl;Christian A. Gueymard;Hugo T.C. Pedro.
Solar Energy (2018)

322 Citations

Impact of the 2002 Canadian Forest Fires on Particulate Matter Air Quality in Baltimore City

Amir Sapkota;J. Morel Symons;Jan Kleissl;Lu Wang.
Environmental Science & Technology (2005)

301 Citations

Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems

A. Nottrott;Jan Kleissl;B. Washom.
Renewable Energy (2013)

294 Citations

High-frequency irradiance fluctuations and geographic smoothing

Matthew Lave;Jan Kleissl;Ery Arias-Castro.
Solar Energy (2012)

252 Citations

A Wavelet-Based Variability Model (WVM) for Solar PV Power Plants

M. Lave;J. Kleissl;J. S. Stein.
IEEE Transactions on Sustainable Energy (2013)

214 Citations

Short-term reforecasting of power output from a 48 MWe solar PV plant

Yinghao Chu;Bryan Urquhart;Seyyed M.I. Gohari;Hugo T.C. Pedro.
Solar Energy (2015)

212 Citations

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