Scott Otterson Email & Phone Number

San Francisco, California, US

Machine learning for virtual power plants (VPPs) built from distributed energy resources: probabilistic time series forecasting, classification, etc. Work in battery predictive maintenance methods, forecasts of solar generation, energy market price, and system peak load. The company's commercial/industrial VPPs were rated #1 in the US, and my system peak.

Bellevue, Washington, US

Data science for distributed energy resources (DER) -- solar generation, electric vehicles, battery storage... I wrote algorithms for probabilistic generation forecasting, and for the forecasting of future DER adoption in response to renewable potential, socioeconomic traits, energy rate plans, and incentives. General machine learning teaching, and.

Bayreuth, Bayern, DE

Algorithms and code for power system predictive maintenance, asset management and renewable energy forecasting. TenneT is Germany's largest power transmission system operator. Python on an HDFS and Kafka based system.

• Algorithm design for integrating variable renewable energy into certainty-demanding power grids. Spatio-temporal dependency learning across high dimensional spaces. Applications: Probabilistic forecasting of solar and.
• Program management: Deputy Coordinator for Grid Integration in the Joint Program on Wind, European Energy Research Alliance (EERA). Also leader for IRPWIND grid integration and forecasting research work packages.
• Teaching: Lecturer for graduate renewable energy grid integration course at University of Kassel, Germany. Also instructor for the German Science Academy’s international grid integration classes.

Lyngby, Hovedstaden, DK

• Spatio-temporal learning for wind power forecasting.
• Led researchers across Europe for the NORSEWInD work package on offshore wind power forecasting.
• Supervised research on smart grid price response, and on optimizing spinning reserves for wind power grid integration.

Vantaa, Uusimaa, FI

Predicted wind power production by fusing physical models with machine learning approaches. This research, done within the company's Science Group, produced new statistical models handling thousands of inputs, greatly improving real-time wind power forecasts. Code was mostly Ruby and Matlab.

Seattle, WA, US

• Research on several topics: coding for internet speech recognition; speech recognition in two-party conversations; detecting conversational breaks with prosodic information; and identifying “who spoke when” in.
• Teaching assistant: sophomore signals and systems; senior year medical instrumentation; natural language processing.
• Visiting researcher, FuruiLab, Tokyo Institute of Technology, Japan.

• Developed techniques to detect mobile phone fraud based on radio transmitter characteristics. The work required feature and classifier design, and extensive analysis of radio path and analog hardware variability.
• Wrote real-time “telling phones apart” software for a large network of remote sensing and computational nodes.
• Technical lead for the pattern recognition engineering team. Also assisted in manufacturing test.

Forchheim, DE

• Algorithm design and hardware/software architecture for a medical ultrasound imaging machine. Job entailed requirements analysis within a cross-disciplinary team of hardware and software designers, clinical experts.
• My main work was in blood flow measurement (spectral, audio, color flow, and blood/tissue discrimination) but also did some work in acoustic control and grayscale image processing.
• Assisted in hardware/software integration, and in diagnosing image quality problems.

Chicago, US

• My system engineering work was similar to my work for Siemens, except that at General Electric, a group of engineers new to the field started with a clean slate – a fresh design of one of the first digital ultrasound.
• Started as a software engineer on a previous machine. Wrote C and DSP code for several coupled processors.

The company did engineering consulting and manufacturing for small embedded systems. I did digital hardware/software design and analog test. I was also a UNIX system administrator.

Post-Doc, Mathematical Statistics And Probability

Phd, Electrical Engineering

Msee, Electrical Engineering

Bsee, Electrical Engineering