Short-term customer-centric electric load forecasting for low carbon microgrids using a hybrid model

https://www.linkedin.com/posts/firuz-ahamed-nahid_short-term-customer-centric-electric-load-activity-7254920292823621632-ayNm?utm_source=share&utm_medium=member_desktop

Excited to share our latest research! We've developed a cutting-edge electric load forecasting model that enhances the efficiency of low-carbon microgrids. By leveraging advanced deep learning techniques and consumer behavior insights, our hybrid model significantly improves prediction accuracy, meeting industry-level standards. This innovation empowers utilities to optimize energy management, seamlessly integrate renewable energy, and deliver tailored energy-saving solutions. Together, we are advancing towards a more sustainable and resilient energy future.