7 citations · 15 across the 3 of their papers we have counts for
3 papers
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting
Konstantin Hopf, Hannah Hartstang, Thorsten Staake
Forecasting electricity demand plays a critical role in ensuring reliable and cost-efficient operation of the electricity supply. With the global transition to distributed renewabl…
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
Jacqueline Wastensteiner, Tobias M. Weiss, Felix Haag +1
Machine learning (ML) methods can effectively analyse data, recognize patterns in them, and make high-quality predictions. Good predictions usually come along with "black-box" mode…
Augmented cross-selling through explainable AI -- a case from energy retailing
Felix Haag, Konstantin Hopf, Pedro Menelau Vasconcelos +1
The advance of Machine Learning (ML) has led to a strong interest in this technology to support decision making. While complex ML models provide predictions that are often more acc…