Interactive Scheduling of Appliance Usage in the Home
Authors: Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, Long Tran-Thanh
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate through extensive empirical evaluation on real world data that our approach improves savings by up to 35%, while maintaining a significantly lower bother cost, compared to state-of-the-art benchmarks. |
| Researcher Affiliation | Academia | Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, and Long Tran-Thanh University of Southampton, UK nct1g10@ecs.soton.ac.uk {t.baarslag, sdr1, l.tran-thanh}@ecs.soton.ac.uk |
| Pseudocode | No | The paper describes the workflow and algorithms in prose and a diagram, but does not include structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide a direct link to source code or explicitly state that the code for the described methodology is being released. |
| Open Datasets | Yes | We run our experiments on the Reference Energy Disaggregation Data Set (REDD) [Kolter and Johnson, 2011] |
| Dataset Splits | No | We use 75% of the REDD dataset as a training set, and the remaining 25% as a test set. The paper specifies train and test splits but does not mention a separate validation set. |
| Hardware Specification | No | The paper does not explicitly describe the specific hardware used for running its experiments (e.g., specific GPU/CPU models, memory details). |
| Software Dependencies | No | The paper does not provide specific software dependency details with version numbers (e.g., library or solver names with version numbers). |
| Experiment Setup | Yes | To obtain the user s decision on the system s elicited questions, we selected = 1 for the marginal comfort cost, as this is indicative of a typical user who is willing to make a trade-off between comfort and cost. |