B. Neergaard

According to our database, B. Neergaard authored at least 3 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A Deep Learning Framework for Heat Demand Forecasting using Time-Frequency Representations of Decomposed Features.

Adithya Ramachandran, Satyaki Chatterjee, Thorkil Flensmark, B. Neergaard, Maximilian Oberndoerfer, Andreas Maier, Siming Bayer

CoRR, March, 2026

2025

Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges.

Adithya Ramachandran, Thorkil Flensmark, B. Neergaard, Andreas K. Maier, Siming Bayer

CoRR, February, 2025

Water Demand Forecasting of District Metered Areas Through Learned Consumer Representations.

Adithya Ramachandran, Thorkil Flensmark, B. Neergaard, Tomás Arias-Vergara, Andreas K. Maier, Siming Bayer

Proceedings of the 33rd European Signal Processing Conference, 2025