default author photo

Amela Ajanovic

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

67

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Short-Term Electricity Load Forecasting: Application-Driven Evaluation of Machine Learning Models Across Spatial and Temporal Scales

Number of pages: 37 Posted: 30 May 2024
Nikolaus Houben, Miguel Heleno, Han Li, Tianzhen Hong, Hans Auer, Amela Ajanovic and Reinhard Haas
affiliation not provided to SSRN, University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab), University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab), University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab), Vienna University of Technology, affiliation not provided to SSRN and Vienna University of Technology
Downloads 67 (961,006)

Abstract:

Loading...

Short-Term Load Forecasting, Machine Learning, Multi-step ahead forecasting, neural networks, Tree-based methods