energy trading

Forecasting production from wind and solar power plants, and making effective decisions under forecast uncertainty, are essential capabilities in low-carbon energy systems. This competition invites participants to develop state-of-the-art forecasting and energy trading techniques to accelerate the global transition to net-zero and to win a share of $21,000 in prize money. It aims to bridge the gap between academic and industry practice, introduce energy forecasting challenges to new communities, and promote energy analytics and data science education.

Last Updated On: 
Sun, 06/16/2024 - 11:50
Citation Author(s): 
Jethro Browell, Sebastian Haglund, Henrik Kälvegren, Edoardo Simioni, Ricardo Bessa, Yi Wang

This dataset was used to produce the results of following paper:

Title: Risk-constrained Optimal Dynamic Trading Strategies Under Short- and Long-term Uncertainties


We provide here a simple but fully functional platform for making peer to peer energy trading using the tobalaba network with block chain