Nima Amjady

Professor and director of CfNETR

Federation University

Australia

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Professor Nima Amjady is the director of the CfNETR at Federation University in Australia. His research focuses on advanced machine learning applications in energy systems, including deep federated learning for load forecasting and predictive modeling for renewable energy sources. He has contributed significantly to the fields of signal recovery, energy storage system resilience, and multi-carrier energy systems. His recent publications reflect a commitment to enhancing power system reliability and understanding the implications of renewable energy integration.

Nima Amjady

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Articles (20)

A new deep federated learning model with high generalizability for electrical load forecasting against data integrity attacks

A proximal splitting algorithm for generalized DC programming with applications in signal recovery

Ultra-Short-Term Solar Power Prediction Using Sky Image Sequences by a Residual Vision Reformer

Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review

Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach

Extreme outage prediction in power systems using a new deep generative Informer model

Application of Deep Learning Algorithms for Scenario Analysis of Renewable Energy-Integrated Power Systems: A Critical Review

Immersion cooling innovations and critical hurdles in Li-ion battery cooling for future electric vehicles

Reactive Power Implications of Penetrating Inverter-Based Renewable and Storage Resources in Future Grids Toward Energy Transition—A Review

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences

A Two-stage Adaptive Robust Model for Residential Micro-CHP Expansion Planning

A critical review on definitions, indices, and uncertainty characterization in resiliency-oriented operation of power systems

Closure to Discussion on "Robust Resiliency-Oriented Operation of Active Distribution Networks Considering Windstorms"

Contingency-constrained operation optimization of microgrid with wind and solar generations: A decision-driven stochastic adaptive-robust approach

Convex Model for Controlled Islanding in Transmission Expansion Planning to Improve Frequency Stability

Energy Storage as a Service: Optimal sizing for Transmission Congestion Relief

Joint investment of community energy storage systems in distribution networks using modified Nash bargaining theory

Multiscale Multiresolution Generation Maintenance Scheduling: A Stochastic Affinely Adjustable Robust Approach

Reintegration-based controlled islanding considering fast and slow active/reactive corrective actions to enhance frequency and transient voltage stabilities

Tracking Equilibrium Point Under Real-Time Price-Based Residential Demand Response

Collaborators (2)

Hamid Khayyam

Vladimir Terzija

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