Master advanced time-series AI for electricity demand forecasting using DeepAR, N-BEATS, and Temporal Fusion Transformers (TFT).
Accurate load forecasting is critical for grid stability and energy spot market bidding. This advanced technical masterclass dives into modern deep learning architectures for time-series forecasting, stepping beyond traditional ARIMA and GARCH models.
The session focuses on Temporal Fusion Transformers (TFT) and Amazon’s DeepAR algorithm, demonstrating multi-horizon probabilistic load forecasting with weather, holiday, and price covariates.
Participants will get hands-on exposure to key industry standard toolkits during the session:
Familiarity with time-series analysis and PyTorch.
Data scientists in power utilities, quantitative energy traders, energy analytics researchers.
Every registered attendee receives an official, tamper-proof digital certificate issued by the Deep Science & Technology Consortium (DSTC). Includes a unique QR code and SHA-256 hash for instant verification on employer or university registries.
NTPC Energy Technology
NTPC Energy Technology