Grid Optimization Specialist
3 weeks ago
- Develop and implement AI and machine learning models to optimize energy distribution and grid stability.
- Analyze and model data from grid systems to forecast demand prevent outages and support load balancing.
- Use predictive analytics for realtime grid monitoring addressing energy consumption spikes and optimizing resource allocation.
- Collaborate with engineers and data scientists to deploy datadriven solutions for grid management and efficiency.
- Work with smart grid technologies and IoT data to monitor infrastructure performance and optimize energy flow.
- Conduct research on new AI applications to address grid challenges such as renewable integration and peak load management.
- Prepare and present analytical findings and optimization strategies to technical teams and management.
- Education: Bachelors degree in Electrical Engineering Data Science Computer Science or a related field (Masters or Ph.D. preferred).
- Experience: 3 years of experience in power systems data science or machine learning with a focus on energy or utilities.
- Technical Skills:
- Proficiency in Python R and machine learning libraries (e.g. TensorFlow PyTorch).
- Knowledge of power systems smart grids and renewable energy integration.
- Experience with timeseries analysis statistical modeling and optimization techniques.
- Familiarity with big data platforms (e.g. Spark Hadoop) and cloud computing (e.g. AWS Google Cloud).
- Domain Knowledge: Understanding of grid operations load balancing and predictive maintenance in energy systems.
- Experience with realtime data processing and IoT integration for grid monitoring.
- Knowledge of energy policies sustainability practices and renewable energy systems.
- Familiarity with reinforcement learning or other advanced AI techniques applied to grid optimization.
- Strong communication skills to explain technical solutions to nontechnical stakeholders.
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