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Open access Aug 2026

AERO: Arbitrary-Scale Equivariant Resolution Operator for Remote Sensing Image Super-Resolution

Remote sensing image super-resolution aims to reconstruct high-resolution images from low-resolution observations and is important for image interpretation. Existing fixed-scale methods achieve good performance at predefined integer scales, but their dedicated upsampling modules limit their application to arbitrary-sca...

Rui Qin, Ying Shi, Yuhan Liu · 0 citations
Open access Sep 2026

An Improved Informer-Based Load Forecasting Method Incorporating Electricity Consumption Profiling

Accurate demand-side load forecasting is essential for reliable power system operation, energy management, and demand-side decision-making. However, heterogeneous electricity-use behavior among residential users and multiscale temporal variations remain major challenges for conventional forecasting models. To address t...

Jin Wang, Ying Shi, Lei Zhang · 0 citations

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