antongiannis/dr-behaviour-modelling-residential
Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".
This project helps energy companies and grid operators understand how residential customers respond to calls for reducing energy use during peak times. It takes in detailed energy consumption data from large-scale residential trials and outputs models that predict demand response behavior. Energy planners, load forecasters, and demand response program managers would use this to design more effective energy management strategies.
No commits in the last 6 months.
Use this if you need to analyze and model how residential households adjust their electricity consumption in response to specific demand response events.
Not ideal if you are looking for real-time demand response management tools or systems to directly control smart home devices.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 06, 2021
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