David P. Larson

I am a PhD candidate in MAE at UC San Diego. My advisor is Carlos Coimbra and I work in the Coimbra Energy Group on developing forecasting models for solar power plants.

I have a MS in Mechanical Engineering from UC San Diego and a BS in Mechanical Engineering from UC Merced. During my time at UC Merced, I participated in the UC LEADS and Cal NERDS summer research programs.

Outside of research, I act as an instructor for ENG 10 and regularly present technical workshops, in collaboration with the IDEA Student Center.

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Research

I am interested in machine learning, convex optimization and renewable energy systems. My current work focuses on developing forecast models to accurately predict power output of solar power plants.

Intra-Day Forecasting of Solar Power Output from Photovoltaic Plants
D.P. Larson and C.F.M. Coimbra
(in preparation), 2016


Day-Ahead Forecasting of Solar Power Output from Photovoltaic Plants
D.P. Larson, L. Nonnenmacher and C.F.M. Coimbra
Renewable Energy, 2016
doi / bibtex

We present a forecast methodology for producing day-ahead (24h-36h) power output predictions of photovoltaic (PV) plants. Four years of power data from two, 1 MWp PV plants is used to evaluate our methodology.

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