Ram Kumar Sharath . Dataverse

This file contains data required to replicate the results in the following publication: https://doi.org/10.1016/j.engappai.2025.113536 To be used alongside the code repo: https://github.com/sharathramkumar/multi-building-rl-eaai-feb-2026

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1 to 7 of 7 Results

Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Aug 20, 2026 Ram Kumar, Sharath, 2026, "Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data", https://doi.org/10.21979/N9/XQRYSK, DR-NTU (Data), V1, UNF:6:yVOI7v3nxbWQJc7oj81xpQ== [fileUNF] This file contains data required to replicate the results in the following publication: https://doi.org/10.1016/j.engappai.2025.113536 To be used alongside the code repo: https://github.com/sharathramkumar/multi-building-rl-eaai-feb-2026
readme.md Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Markdown Text - 738 B - MD5: 99dac3f6c8b4464ca698e66431bfa302 Readme
SGP_Singapore.486980_IWEC.tab Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Tabular Data - 7.7 MB - 32 Variables, 8760 Observations - UNF:6:yVOI7v3nxbWQJc7oj81xpQ== Weather data for Singapore
approximate_cons_models_100_3.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 123.9 MB - MD5: 7cd2b57371973cec17482efe4baa38af Approximate consumer models using simulation data
real_consumer_models_100.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 310.9 MB - MD5: 82fd6c3d135cd8fc988d120f3d9dfa80 Actual models used for evaluation
real_consumer_models_sarran_override_model.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 78.2 MB - MD5: 02ceb3e8dd7e1778575a6ce9f5e2f2c9 Actual models with override behaviour based on Sarran et al 2024
real_consumer_models_stochastic_override_model.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 310.9 MB - MD5: 83fc5920cc453ffa08e19e41dc2ec15b Actual models with stochastic override behaviour

Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data

Aug 20, 2026

Ram Kumar, Sharath, 2026, "Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data", https://doi.org/10.21979/N9/XQRYSK, DR-NTU (Data), V1, UNF:6:yVOI7v3nxbWQJc7oj81xpQ== [fileUNF]

readme.md

Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data

Markdown Text - 738 B -

Readme

SGP_Singapore.486980_IWEC.tab

Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data

Tabular Data - 7.7 MB - 32 Variables, 8760 Observations -

Weather data for Singapore

approximate_cons_models_100_3.dat

Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data

Fixed Field Text Data - 123.9 MB -

Approximate consumer models using simulation data