A dataset of exogenous variables and historical electricity demand for short-term load forecasting of the national interconnected electric system (SENI) in the Dominican Republic from 2021 to 2024. [PDF]
Uceta-Acosta RO +5 more
europepmc +1 more source
Fisher Information Based Meteorological Factors Introduction and Features Selection for Short-Term Load Forecasting. [PDF]
Cai S, Liu L, Sun H, Yan J.
europepmc +1 more source
Elinvar Materials: Recent Progress and Challenges
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13. [PDF]
Miah MSU +5 more
europepmc +1 more source
Improved Neural Networks with Random Weights for Short-Term Load Forecasting. [PDF]
Lang K, Zhang M, Yuan Y.
europepmc +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Predictive models for short-term load forecasting in the UK's electrical grid. [PDF]
Sha'aban YA.
europepmc +1 more source
The growing demand for lightweight, nontoxic, and multifunctional gamma shielding materials has intensified efforts to find alternatives to conventional lead and aluminum‐based protectants. In this work, we develop epoxy quartz fabric composites reinforced with cobalt chloride (CoCl2) microparticles, fabricated via hand lay‐up with varying filler ...
Summan Urooge +7 more
wiley +1 more source
UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data. [PDF]
Zhou S, Zhang Q, Xiao P, Xu B, Luo G.
europepmc +1 more source
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source

