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20242026
most citedClustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks

Ammar Kamoona, Sajad Koushkbaghi, Mahdi Jalili +2

The digitalisation of electrical distribution networks has increased the exposure of power-grid infrastructure to cyber attacks. Existing intrusion detection systems (IDSs), howeve…

cs.LG2025

Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement

Saman Forouzandeh, Wei Peng, Parham Moradi +2

We present MACLA, a framework that decouples reasoning from learning by maintaining a frozen large language model while performing all adaptation in an external hierarchical proced…

eess.SP2025

Electric Vehicle Identification from Behind Smart Meter Data

Ammar Kamoona, Hui Song, Ali Moradi Amani +3

Electric vehicle (EV) charging loads identification from behind smart meter recordings is an indispensable aspect that enables effective decision-making for energy distributors to…

eess.SP2024

Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data

Ammar Mansoor Kamoona, Hui Song, Mahdi Jalili +3

The growing popularity of Electric Vehicles (EVs) poses unique challenges for grid operators and infrastructure, which requires effectively managing these vehicles' integration int…

eess.SY2024

Identifying the Most Influential Driver Nodes for Pinning Control of Multi-Agent Systems with Time-Varying Topology

Guangrui Zhang, Zhaohui Liu, Xinghuo Yu +1

Identifying the most influential driver nodes to guarantee the fastest synchronization speed is a key topic in pinning control of multi-agent systems. This paper develops a methodo…

cs.LG2024★ 1 cited

Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction

Hui Song, Zheng Miao, Ali Babalhavaeji +3

The increasing installation of Photovoltaics (PV) cells leads to more generation of renewable energy sources (RES), but results in increased uncertainties of energy scheduling. Pre…