Michael F. Howland
Massachusetts Institute of Technology
Assistant Professor
Department of Civil and Environmental Engineering
Research Area
#Wind power#Wake#Environmental science#Mechanics#Turbine#Meteorology#Wind speed#Turbulence#Planetary boundary layer#Physics
SCIE paper information
Papers relevant to ‘Wind power’: 5
Research performance of SCIE papers matching with ‘Wind power’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions
2016/07 JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY 1.135 Impact Factor 138 citations
Wind farm power optimization through wake steering.
2019/07 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 9.412 Impact Factor 83 citations
Papers for author ‘Michael F. Howland’: 9
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions
2016/07 JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY 1.135 Impact Factor 138 citations
Wind farm power optimization through wake steering.
2019/07 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 9.412 Impact Factor 83 citations
conference information
Papers relevant to ‘Wind power’: 1
Research performance of Top-tier Conference matching with ‘Wind power’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
2019/05 NEURIPS Top-tier Conference 5 citations
Papers for author ‘Michael F. Howland’: 1
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
2019/05 NEURIPS Top-tier Conference 5 citations
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