Control Under Action-Dependent Markov Packet Drops: An Event-Triggered Approach. - Shourya Bose; Pavankumar Tallapragada (CoRR, 2019)

Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality. - Kejun Chen; Shourya Bose; Yu Zhang 005 (GLOBECOM, 2022)

Differentially Private Load Restoration for Microgrids with Distributed Energy Storage. - Shourya Bose; Yu Zhang 005 (ISGT, 2022)

Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems. - Shourya Bose; Sifat Chowdhury; Yu Zhang 005 (CoRR, 2022)

On LinDistFlow Model Congestion Pricing: Bounding the Changes in Power Tariffs. - Shourya Bose; Kejun Chen; Yu Zhang 005 (ISIE, 2023)

Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients. - Shourya Bose; Kibaek Kim (CoRR, 2023)

Privacy-Preserving Load Forecasting via Personalized Model Obfuscation. - Shourya Bose; Yu Zhang 005; Kibaek Kim (CoRR, 2023)

Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers. - Shourya Bose; Yu Zhang 005; Kibaek Kim (CoRR, 2024)

From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption. - Shourya Bose; Yijiang Li; Amy Van Sant; Yu Zhang; Kibaek Kim (CoRR, 2024)

Error analysis of a Haar wavelets-based numerical method with its application to a nonlinear fractional dengue model. - Bijil Prakash; Amit Setia; Shourya Bose; Ravi P. Agarwal (Int. J. Comput. Math., 2024)

Load Restoration in Islanded Microgrids: Formulation and Solution Strategies. - Shourya Bose; Yu Zhang 005 (IEEE Trans. Control. Netw. Syst., 2024)

Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF. - Kejun Chen; Shourya Bose; Yu Zhang (CoRR, 2025)

Physics-Informed Gradient Estimation for Accelerating Deep Learning-Based AC-OPF. - Kejun Chen; Shourya Bose; Yu Zhang 005 (IEEE Trans. Ind. Informatics, 2025)