https://github.com/andrefcruz/feup-aiad
Multi-agent system for simulating an Energy Market, with Consumers, Brokers, and Producers :zap::zap: In collaboration with @EdgarACarneiro and @xfontes42
https://github.com/andrefcruz/feup-aiad
agents jade java rapidminer
Last synced: 9 months ago
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Multi-agent system for simulating an Energy Market, with Consumers, Brokers, and Producers :zap::zap: In collaboration with @EdgarACarneiro and @xfontes42
- Host: GitHub
- URL: https://github.com/andrefcruz/feup-aiad
- Owner: AndreFCruz
- Created: 2018-09-27T16:23:42.000Z (almost 8 years ago)
- Default Branch: project
- Last Pushed: 2019-02-02T17:32:42.000Z (over 7 years ago)
- Last Synced: 2024-12-20T05:30:07.530Z (over 1 year ago)
- Topics: agents, jade, java, rapidminer
- Language: HTML
- Homepage:
- Size: 69.4 MB
- Stars: 3
- Watchers: 3
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# FEUP-AIAD
Modelling an electricity market with JADE + Repast + Sajas :zap:
### High-level Architecture

### Agent's Behaviours / Strategies

#### Multi-Agent System Slides: [here](docs/AIAD_1_Slides.pdf) and [here](docs/AIAD_1_Slides_Aux.pdf)
#### Data-Mining Slides: [here](docs/AIAD_2_Slides.pdf) and [here](docs/AIAD_2_Slides_Aux.pdf)
Data Mining approach aimed at predicting a Consumer's behaviour class (Normal/Lazy/Ecological) from its previous contracts.
We achieved an accuracy of 85% with a rolling window of the 5 previous contracts (with Gradient Boosted Trees).
### Authors:
* @AndreFCruz
* @EdgarACarneiro
* @xfontes42