Researcher II - Data Analytics for Power Systems
Researcher II â€“ Data Analytics for Power Systems
CO - Golden
Hours Per Week
The Sensing and Predictive Analytics group at NREL is looking for an accomplished and dynamic candidate with a positive attitude and excellent collaboration skills to join our cutting-edge research team to work on data-driven technology for energy systems planning and operation. The ideal candidate will bring a strong track record in data-driven power system modeling and analysis, measurement-based operation and control, machine learning and signal processing. The candidate should demonstrate experience in theory and algorithms development and programming skills.
The successful candidate will work towards the development of scalable load forecasting and system identification algorithms for power systems with high penetration of distributed energy sources. The candidate will also work towards development remoting sensing, estimation, and forecasting for solar and wind energy resources. He will be part of the Sensing and Predictive Analytics group under the Power Systems Engineering Center (PSEC) at NREL. PSEC supports the science and technology goals of the U.S. Department of Energy and NREL toward a sustainable energy future. The center works with the electricity industry to optimize strategies for effectively interconnecting renewable resources and emerging energy efficiency technologies in the existing electric power system. The center focuses on resolving grid integration barriers and providing improved control and management strategies for increased grid flexibility, consumer empowerment, and transportation electrification.
The job responsibilities include:
Publish results in top technical journals and conference proceedings; present work at conferences, symposia, and review meetings
Collaborate with management and senior staff to develop proposals in the area of data analytics for next-generation energy systems
Execute major projects as a principal technical contributor
Demonstrate leadership in several areas of team, task, or project lead responsibilities
Provide reports on technical work and input to technical publications and presentations
Follow all Environment, Safety, and Health policies and procedures to ensure and maintain a safe working environment
Required Education, Experience, and Skills
Relevant MS in Electrical Engineering or computer science or other systems engineering fields and 3 or more years of experience or equivalent relevant education/experience.
Or, relevant Bachelor's Degree and 7 or more years of experience or equivalent relevant education/experience. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good writing, interpersonal and communication skills.
Ideal candidates will have a background and expertise in one or more of the following topics:
Measurement-based characterization of renewable resources
Data driven system analysis and design
Machine learning based predictive analytics for renewable variability
Familiarity with latest findings in time serious forecasting, dynamic programming within the context of power systems and renewable generation
Demonstrates broad understanding and wide application of principles, theories, and concepts in microgirds, utility scale energy storage systems, and optimal dispatch
General knowledge of other related disciplines
Proficiency in one or more of the following: IGORpro, Maple, MATLAB, R and Minitab
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