학술논문
One month-ahead electricity price forecasting in the context of production planning
Document Type
Article
Author
Source
In Journal of Cleaner Production 20 November 2019 238
Subject
Language
ISSN
0959-6526
Abstract
Highlights •Artificial Neural Networks outperform TBATS and Weighted Nearest Neighbor.•Forecast results are highly applicable for mid-term production planning purposes.•Neural Network forecasts for longer terms are almost as precise as for shorter ones.•On average, only 5% of the adjusted forecasts exceed the limit of a 10.00 EUR error.