most citedAnalysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations

1 citations · 1 across the 9 of their papers we have counts for

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12 papers

eess.SY2026

Impact of Security Modeling Fidelity on Hyperscale Data Center Hosting Capacity Assessment

Haoxiang Wan, Linhan Fang, Jonghwan Kwon +5

This paper assesses hyperscale data center hosting capacity in transmission grids. Hosting capacity (HC) analysis quantifies the maximum additional load a bus can accommodate witho…

eess.SY2026

Service-Aware Hosting Capacity Assessment of Edge Data Centers with Workload Flexibility

Linhan Fang, Haoxiang Wan, Anurag Srivastava +1

The growing demand for edge computing, content delivery, and AI services is driving the interconnection of edge data centers (DCs) with distribution networks. Before interconnectio…

eess.SY2026

Violation-Informed Spatio-Temporal Adaptive Targeting Framework for EV-Driven Distribution System Expansion Planning

Linhan Fang, Xingpeng Li

The rapid adoption of electric vehicles (EVs) can cause severe voltage drops and line current overloads in distribution networks, creating an urgent need for scalable expansion pla…

eess.SY2026

Hosting Capacity Assessment and Enhancement for Edge Data Centers in Active Distribution Networks

Linhan Fang, Xingpeng Li

With the increasing demand for edge computing and AI-driven workloads, integrating small and medium-sized edge data centers into distribution networks has become increasingly impor…

eess.SY2026

Net Load Forecasting with Renewable Capacity Features: A Comparison of Direct and Indirect Neural Network Methods

Oluwafolajimi Samuel Bolusteve, Linhan Fang, Xingpeng Li

Renewable energy adoption has increased significantly in recent years. However, the growing penetration of renewable generation that depends on the weather introduces additional va…

eess.SY2026

Diagnosis-Driven Co-planning of Network Reinforcement and BESS for Distribution Grid with High Penetration of Electric Vehicles

Linhan Fang, Elias Raffoul, Xingpeng Li

While the rapid proliferation of electric vehicles (EVs) accelerates net-zero goals, uncoordinated charging activities impose severe operational challenges on distribution grids, i…

eess.SY2025

Data-Driven EV Charging Load Profile Estimation and Typical EV Daily Load Dataset Generation

Linhan Fang, Jesus Silva-Rodriguez, Xingpeng Li

Widespread electric vehicle (EV) adoption introduces new challenges for distribution grids due to large, localized load increases, stochastic charging behavior, and limited data av…

eess.SY2025

Active Power Thermal Feasibility Assessment of EV Integration with DER Scheduling and Distribution Network Reconfiguration

Rida Fatima, Linhan Fang, Xingpeng Li

The rapid growth of electric vehicle (EV) adoption poses operational and economic challenges for distribution systems, including increased line loading and network congestion. As a…

eess.SY2025

Grid Operational Benefit Analysis of Data Center Spatial Flexibility: Congestion Relief, Renewable Energy Curtailment Reduction, and Cost Saving

Haoxiang Wan, Linhan Fang, Xingpeng Li

Data centers are facilities housing computing infrastructure for processing and storing digital information. The rapid expansion of artificial intelligence is driving unprecedented…

eess.SY2025

BESS Siting and Sizing to Mitigate EV Charging-Induced Voltage Violations: A Planning Space Reduction Approach

Linhan Fang, Xingpeng Li

The rapid growth of electric vehicle (EV) charging can cause persistent voltage violations in distribution networks and increase the need for grid-side voltage support. This paper…

eess.SY2025

A Black Start Strategy for Hydrogen-integrated Renewable Grids with Energy Storage Systems

Jin Lu, Linhan Fang, Fan Jiang +1

With the increasing integration of renewable energy, the reliability and resilience of modern power systems are of vital significance. However, large-scale blackouts caused by natu…

eess.SP2025★ 1 cited

Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations

Linhan Fang, Fan Jiang, Ann Mary Toms +1

Accurate wind speed prediction is crucial for designing and selecting sites for offshore wind farms. This paper investigates the effectiveness of various machine learning models in…