Electric Power Research Institute

Transmission line defect detection via an integrated improved YOLOv8 and deep neural random forest framework

Abstract How to effectively identify defects in power transmission lines using unmanned aerial vehicle (UAV) technology remains a key research focus. This paper presents an optimization over traditional convolutional neural networks by proposing a spatially deformable convolution...

Data-locality-preserving carbon-aware coordination of power and electrified transportation systems using federated reinforcement learning

The rapid electrification of transportation systems has intensified the coupling between regional power grids, electric vehicle charging demand, and spatiotemporal traffic dynamics, posing significant coordination challenges under carbon constraints. Conventional centralized opti...

Design of a neutron irradiation campaign for electron beam welded reactor pressure vessel steel

The objective of this study is to document a neutron irradiation experiment campaign intended to enable evaluation of embrittlement in electron beam (EB) welded SA508, Grade 3 reactor pressure vessel (RPV) steel for small modular reactors. Arc welds in RPVs have historically expe...

An energy-saving strategy for edge data center clusters driven by deep learning and real-time load forecasting

To address energy-saving optimization in edge data center clusters under high-density cabinet deployment, dynamic workload fluctuations, and increasingly strict energy-efficiency constraints, this paper proposes a collaborative energy-saving strategy driven by deep learning and r...

Metal Magnetic Memory-Based Electromagnetic Non-Destructive Evaluation of Steel-Core Damage in UHV ACSR Conductors

Internal steel-core damage hidden within aluminum conductor steel-reinforced (ACSR) compression components may threaten the mechanical integrity of ultra-high-voltage transmission lines. This laboratory study evaluates metal magnetic memory testing (MMMT) responses to artificial...

Beyond Molecular Dispersion: A Molecular-Cone Architecture of Cobalt Phthalocyanine on CNTs for Selective CO2 Electroreduction to Methanol

Abstract Molecularly dispersed cobalt phthalocyanine (CoPc) on carbon nanotubes can be used as an efficient catalyst for electrochemical CO2-to-methanol conversion. However, increasing the CoPc loading to enhance the current density typically induces aggregation, which compromise...

Waterborne polyurethane modified CFBFA cementitious materials properties and mechanism

This study addresses the challenge of directly and efficiently utilising circulating fluidised bed fly ash (CFBFA), which is difficult to employ due to its high calcium, high sulfur, and low reactivity, by introducing environmentally friendly waterborne polyurethane (WPU) as a mo...

Probabilistic Load Flow Calculation for Distribution Networks Based on Advanced Source-Load Modeling and Time-Varying D-Vine Copula

With the large-scale integration of distributed photovoltaic generation (PV) into modern distribution networks, the inherent stochasticity and volatility of renewable energy outputs have imposed non-negligible impacts on the secure and economic operation of power systems. Convent...

Research on the Online Diagnosis Method for Heating Types of Composite Insulator

ABSTRACT In response to the current challenge of accurately determining the specific heating status of composite insulators with localised temperature rise using infrared detection technology, this paper proposes a novel diagnostic method. This method involves applying a disturba...