most citedExploring the Interpretability of Forecasting Models for Energy Balancing Market

7 citations · 7 across the 12 of their papers we have counts for

collaborators

14 papers

cs.LG2026

Urban Power Grid Topology and Hierarchy Identification from Open Data

Shiliang Zhang, Sabita Maharjan

Understanding the complex topology and hierarchy of urban power grid is crucial for energy prognosis, power flow management, and system resilience analysis. However, detailed grid…

cs.AI2026

AI and Open-data Driven Scalable Solar Power Profiling

Shiliang Zhang, Sabita Maharjan, Damla Turgut

Solar photovoltaic (PV) deployment is expanding rapidly, yet detailed, up-to-date information on the spatial distribution and capacity of rooftop PV remains limited. This paper pre…

cs.DL2026

Cenergy3: An Open Software Package for City Energy 3D Modeling

Shiliang Zhang, Sabita Maharjan

The efficient management and planning of urban energy systems require integrated three-dimensional (3D) models that accurately represent both consumption nodes and distribution net…

cs.CR2026

Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections

Shiliang Zhang, Sabita Maharjan

The rapid proliferation of artificial intelligence (AI) technologies has led to a dynamic regulatory landscape, where legislative frameworks strive to keep pace with technical adva…

q-fin.ST20267 cited

Exploring the Interpretability of Forecasting Models for Energy Balancing Market

Oskar Våle, Shiliang Zhang, Sabita Maharjan +1

The balancing market in the energy sector plays a critical role in physically and financially balancing the supply and demand. Modeling dynamics in the balancing market can provide…

math.OC2026

Adaptive Robust Control for Uncertain Systems with Ellipsoid-Set Learning

Xuehui Ma, Shiliang Zhang, Zhiyong Sun +2

Despite the celebrated success of stochastic control approaches for uncertain systems, such approaches are limited in the ability to handle non-Gaussian uncertainties. This work pr…