This repository is used to generate data and evaluate Decision Transformers on the CityLearn (Challenge 2022) environment for urban energy management
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Aug 22, 2023 - Python
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citylearn
Here are 7 public repositories matching this topic...
A Multi-Agent Reinforcement Learning (MARL) based pricing and incentive strategy for demand response in smart grids.
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Mar 10, 2026 - Jupyter Notebook
In this repository, we explore the application of Transformer-based Reinforcement Learning approaches to solve complex real-world energy management problems using the CityLearn environment (Challenge 2022 and 2023).
reinforcement-learning transformers energy-efficiency energy-management green-tech building-control decision-transformer citylearn
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Dec 12, 2023 - Python
CityLearn-compatible dataset: real building profiles + the Ukrainian residential time-of-use tariff (3-zone / 2-zone / flat)
benchmark energy reinforcement-learning dataset ukraine model-predictive-control demand-response citylearn
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Sep 2, 2026 - Python
Decomposing the MPC performance gap in building energy management on CityLearn 2022: perfect-foresight LP, stochastic MPC, LightGBM forecasting, raw results
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Sep 7, 2026 - Python
This project aims to build a smart energy management grid system to reduce the avg peak demand during peak hours. It uses CityLearn environment.
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May 13, 2026 - Python
COS 435 Final Project Repository
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May 9, 2026 - Python
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