Elham Shirazi

Elham Shirazi is an Assistant Professor specializing in Advanced Manufacturing, Sustainable Products & Energy Systems. Her research aligns with UN Sustainable Development Goals, focusing on Energy Management, Smart Grids, and Artificial Intelligence applications in energy systems. She has an h-index of 10 and 577 citations, primarily in Machine Learning and Power Systems.

Her recent publications highlight trends in PV Power Forecasting, Energy Storage Optimization, and Grid Stability. Key methodologies include Long Short-Term Memory (LSTM), Deep Reinforcement Learning, and Wavelet Packet Decomposition, applied to Building-Integrated Photovoltaics and Multi-agent Systems for grid resilience.