Adithya Ramachandran

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Technische Mechanik (LTM)

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations (2025) Ramachandran A, Flensmark B. Neergaard T, Arias Vergara T, Maier A, Bayer S Conference contribution, Original article Digitization Framework of Water Utility Documents for Digital Twins (2025) Ramachandran A, Maier A, Bayer S Conference contribution, Conference Contribution Water Demand Forecasting of District Metered Areas through Learned Consumer Representations (2025) Ramachandran A, Arias Vergara T, Maier A, Bayer S Conference contribution, Conference Contribution Link Prediction on Water Distribution Networks using Graph Neural Networks (2025) Pahlajani KM, Ramachandran A, Maier A, Bayer S Conference contribution, Conference Contribution Creating a labeled district heating data set: From anomaly detection towards fault detection (2024) Stecher D, Neumayer M, Ramachandran A, Hort A, Maier A, Bücker D, Schmidt J Journal article Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges (2024) Ramachandran A, Neergaard TF, Maier A, Bayer S Conference contribution, Conference Contribution Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram † (2024) Ramachandran A, Mousa H, Maier A, Bayer S Journal article Unveiling Consumer Behavior in District Heating Network: A Contrastive Learning Approach to Clustering (2024) Basak P, Ramachandran A, Maier A, Bayer S Conference contribution, Original article A Week Ahead Water Demand Forecasting using Convolutional Neural Network on Multi-Channel Wavelet Scalogram (2024) Ramachandran A, Mousa H, Maier A, Bayer S Conference contribution, Original article Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble (2022) Chatterjee S, Ramachandran A, Neergaard TF, Maier A, Bayer S Conference contribution, Original article