AI for Power Load & Renewable Energy Forecasting - (ILUSTRE LAB)

Activity: Talk or presentation types › Oral presentation › Scientific

Description

This research is on developing AI-powered methods for accurate short-term forecasting of power load and renewable energy supply. These forecasts are critical for enabling the transition to a low-carbon electricity grid by improving the integration of renewable energy sources, enhancing grid stability, and supporting energy-efficient operations.
Period22 Nov 2024
Event titleDutch Caribbean Research week
Event typeConference
Degree of RecognitionInternational

Keywords

  • Energy transition
  • Renewable Energy Integration
  • Graph Neural Networks
  • LSTM

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