Development of a Planning, Operation, and Control Framework for Hybrid Energy Storage and Renewable Generation Systems
Description
One project: will develop the initial framework for planning, operation, and control of these 'hybrid' energy systems containing high penetrations of renewables together with energy storage, non-wires alternatives, and conventional generating resourc
Detailed example
One project: will develop the initial framework for planning, operation, and control of these 'hybrid' energy systems containing high penetrations of renewables together with energy storage, non-wires alternatives, and conventional generating resources by leveraging BNL's expertise in energy storage technologies, probabilistic-based planning and control solutions, and machine learning techniques.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
One project: will develop the initial framework for planning, operation, and control of these 'hybrid' energy systems containing high penetrations of renewables together with energy storage, non-wires alternatives, and conventional generating resources by leveraging BNL's expertise in energy storage technologies, probabilistic-based planning and control solutions, and machine learning techniques.
Audit / financial statement impact
Does not meet definition
Controls / human review
ATO: Not reported; PIA: Not published