Analytics of Energy Market Carbon Accounting – RES0054167

The proposed research will develop the underlying medium that can be further advanced into a real-time emission intensity assessment framework. The intern will be developing computational models based on electricity generation metered volumes and investigate how deep learning and data mining approaches can assist information extraction to enhance analytical capacities on sequence learning. Since ReWatt platform offers an information technology (IT) solution to measure climate impact and manage renewable generation investment, the emissions trading approach is very important to track and encourage the reduction of CO2 emissions in an efficient manner. The proposed project, helps the partner organization to to ensure validity of the data used to derive the attributes and to optimize the benefits their services bring to the individual customers.

Faculty Supervisor:

Petr Musilek

Student:

Partner:

ReWatt Power

Discipline:

Computer science

Sector:

Utilities

University:

University of Alberta

Program: