Short-term electricity load forecasting based on a novel data preprocessing system and data reconstruction strategy

Y Meng, S Yun, Z Zhao, J Guo, X Li, D Ye, L Jia… - Journal of Building …, 2023 - Elsevier
Accurate forecasting of the electricity load plays a crucial role in the decision-making and
operation of the smart grid. The characteristics of load series such as non-stationarity, non …

Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images--Part II: Spatial and Tonal Data Optimization

N Kämper, V Chizhov, J Weickert - arXiv preprint arXiv:2401.06747, 2024 - arxiv.org
Homogeneous diffusion inpainting can reconstruct missing image areas with high quality
from a sparse subset of known pixels, provided that their location as well as their gray or …

Adjoint Method in PDE-based Image Compression

Z Belhachmi, T Jacumin - arXiv preprint arXiv:2302.02665, 2023 - arxiv.org
We consider a shape optimization based method for finding the best interpolation data in the
compression of images with noise. The aim is to reconstruct missing regions by means of …

Adjoint Method in PDE-based Image Compression

T JACUMIN, Z Belhachmi - Authorea Preprints, 2023 - techrxiv.org
We consider a shape optimization based method for finding the best interpolation data in the
compression of images with noise. The aim is to reconstruct missing regions by means of …

Iterative Approach to Image Compression with Noise: Optimizing Spatial and Tonal Data

Z Belhachmi, T Jacumin - 2023 - hal.science
We consider some iterative methods for finding the best interpolation data in the images
compression with noise. The interpolation data consists of the set of pixels and their …