AGENT BASED MODELING FOR SMARTER BUILDING ENERGY SIMULATION AND ENERGY EFFICIENCY TECHNOLOGY EVALUATION
Agent based modeling (ABM) is a method of modeling
complex systems that allows for detailed, endogenous
actors interacting with one another and with their
environment based on predefined agent rules and goals.
ABMs allow modeling at a desired aggregation level
that is most conducive to producing realistic market
trends at the aggregation level desired. As ABMs obtain
market trends based on individualistic goals of agents,
they are an ideal tool for short term and long term
market trend analyses. Argonne National Laboratory
has developed and recently validated the Commercial
Building Agent Model (CoBAM), an ABM with both a
commercial and residential building stock. An example
showing the power of CoBAM in evaluating the energy
savings due to adoption of energy efficiency measures
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