Skip to content

Latest commit

 

History

History
21 lines (14 loc) · 717 Bytes

README.md

File metadata and controls

21 lines (14 loc) · 717 Bytes

FEUP-AIAD

Modelling an electricity market with JADE + Repast + Sajas ⚡

High-level Architecture

architecture

Agent's Behaviours / Strategies

behaviours

Multi-Agent System Slides: here and here

Data-Mining Slides: here and here

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