Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
HVAC-Aware Occupancy Scheduling (Extended Abstract)
Authors: Boon-Ping Lim
AAAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Results show that the HVAC-aware scheduling model leads to significant consumption reduction (50% to 70% in our experiments) when compared to occupancybased HVAC control using arbitrary schedules or energyaware schedules generated by heuristic methods. |
| Researcher Affiliation | Academia | Boon-Ping Lim Optimisation Research Group, NICTA Research School of Computer Science, ANU EMAIL |
| Pseudocode | No | The paper describes algorithms conceptually but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access information for source code. |
| Open Datasets | No | The paper mentions 'our experiments' but does not provide any specific dataset names, links, or citations to publicly available data used for training. |
| Dataset Splits | No | The paper does not provide specific details on dataset splits (e.g., training, validation, test percentages or counts). |
| Hardware Specification | No | The paper does not mention any specific hardware (e.g., GPU/CPU models, memory) used for running experiments. |
| Software Dependencies | No | The paper mentions 'MILP model' and 'MILP solvers' but does not specify any software names with version numbers. |
| Experiment Setup | Yes | In our destroy step, we remove all meetings in two, three, or four randomly selected zones. We do, however, limit the MILP runtime to avoid excessive search during repair. |