Engineering Commons^™

Toward A Fair Transactive Energy Market: A Deeplearning Based Energy Consumption Prediction Model, Yuka Hatori

Computer Science and Engineering Master's Theses

The application of machine learning is vast and quickly spreading across disciplines because of its versatile utility. By nature, machine learning implementations can quickly be obfuscated and ultimately introduce and perpetuate discriminatory practices, which leads to the issue of fairness. Transactive energy and the distribution of energy management technologies allow for new participants, meaning individual households and entities smaller than large energy providers, to enter the market to buy and sell energy. Machine learning has potential for meaningful use in many aspects of the transactive energy market process, and we focus on the specific aspect of how individual households can …