Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs
Authors: Valentin Robu, Meritxell Vinyals, Alex Rogers, Nicholas Jennings
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We propose a polynomial time algorithm to compute efficient buyer groups, and validate our approach experimentally, using a large-scale data set of domestic electricity consumers in the UK. |
| Researcher Affiliation | Academia | Valentin Robu Heriot-Watt University Edinburgh, Scotland, UK v.robu@hw.ac.uk Meritxell Vinyals, Alex Rogers and Nicholas R. Jennings University of Southampton Southampton, UK {mv2y11,acr,nrj}@ecs.soton.ac.uk |
| Pseudocode | Yes | The pseudocode of the method is given in Algorithm 1. |
| Open Source Code | No | The paper does not provide an explicit statement or link for open-source code for the described methodology. |
| Open Datasets | No | The paper mentions using 'a large dataset of around 3000 households (i.e. customers) in the UK' but does not provide concrete access information such as a link, DOI, or formal citation for public access. |
| Dataset Splits | No | The paper does not provide specific details regarding training, validation, or test dataset splits, such as percentages or sample counts. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., CPU/GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers (e.g., library or solver names with versions) needed to replicate the experiment. |
| Experiment Setup | Yes | The evaluation considers three tariffs (F, P and P+) detailed as follows. Tariff F (Flat), corresponds to a flat tariff in which customers pay a fixed price ( 0.205) per k W consumed. Tariff P (Predictive) reduces the baseline price of tariff F at the cost of charging a penalty of 0.01/ 0.03 for each k W underconsumed/overconsumed respectively. Finally, tariff P+ (Highly Predictive) offers the lowest baseline price but severely penalizes any imbalance (with penalties of 0.17/ 0.26 per Kw underconsumed/overconsumed). |