Short-term power load forecasting

Results 161 to 170 of about 108,466 (288)

Short-term Power Load Forecasting Based on Machine Learning

, 2020
Prognoser för kortvarig effektbelastning är en viktig del av kraftsystemhanteringen.Det är förutsättningen för nätverksstrukturplanering, elhandel och lastplanering.Prognosen för kraftbelastning är direkt relaterad till kraftsystemetssäkerhet, stabilitet och ekonomiska drift.I denna avhandling studeras och analyserasmaskininlärningsbaserade ...
openaire +1 more source

Advanced 3D Platforms for Modeling CNS Neuroinflammation: Cell Integration, Techniques, and Challenges

Advanced Healthcare Materials, EarlyView.
This review summarizes the roles of key central nervous system cell types, the extracellular matrix, and the blood‐brain barrier in neuroinflammation, and their integration into diverse 3D culture systems. It examines major incorporation strategies, including direct co‐culture, hydrogel encapsulation, transwell migration assays, and bioprinting ...
Emmanuelle D. Aiyegbusi, Julia Di Stefano, Dearbhaile Dooley +2 more
wiley +1 more source

A load forecasting method based on edge graph attention network. [PDF]

PLoS One
Gu M, Li X, Cai Y.
europepmc +1 more source

Development of a Synthetic Hydrogel to Foster Microvascularization of an Endometriosis Microphysiological System

Advanced Healthcare Materials, EarlyView.
ABSTRACT The ascent of novel alternative methods in drug development spotlights the dual needs for improved biological fidelity to in vivo, along with reproducibility, especially in regulatory applications. The need for pre‐clinical models of patient‐derived endometriosis lesions motivates the development of a vascularizable, completely synthetic ...
Lauren Pruett +7 more
wiley +1 more source

Comparative evaluation of several models for forecasting hourly electricity use in a steel plant. [PDF]

Sci Rep
Gu F, Zhao Y.
europepmc +1 more source

Copolymers of Poly(Butylene Trans‐1,4‐Cyclohexanedicarboxylate)/Pripol as New Biomaterial Platform for Small Diameter Vascular Graft

Advanced Healthcare Materials, EarlyView.
Electrospun tubular scaffolds from novel PBCE‐based copolyesters and blends were designed as candidates for small‐diameter vascular grafts. They combine defect‐free architecture, blood‐compatible surfaces, and mechanical properties comparable to native vessels.
Edoardo Bondi +7 more
wiley +1 more source

MTMF-Grid: A multi-task multi-modal fusion model for operational forecasting and decision support in power grids. [PDF]

PLoS One
Zhang D +5 more
europepmc +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source

Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]

Sci Rep
Rabie D, Moradi M, Xuan W, Farzaneh H.
europepmc +1 more source

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

Advanced Healthcare Materials, EarlyView.
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan +12 more
wiley +1 more source

short-term load forecasting
7. clean energy
load forecasting

13. climate action
deep learning
medicine

short-term
11. sustainability
time series