Results 251 to 260 of about 127,521 (300)

Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition. [PDF]

Sci Rep
Li H, Tang M, Cao J, Yang T, Wang C, Jiang Y.   +5 more
europepmc   +1 more source

Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s

Advanced Functional Materials, EarlyView.
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu, Xiaofeng Zheng, Shaoxia Zhang, Long Xu, Meng Liu, Jeremy Baribeault St‐Germain, Yue Zhao   +6 more
wiley   +1 more source

A multi strategy optimization framework using AI digital twins for smart grid carbon emission reduction. [PDF]

Sci Rep
Sakthivel S, Arivukarasi M, Charulatha G, Nithisha J, Abirami B, Jaithunbi AK, Suresh Kumar V.   +6 more
europepmc   +1 more source

The peak shifting electricity consumption management and influencing factors of smart grid from recurrent neural network model and deep learning. [PDF]

Sci Rep
Wang F, Huang D, Lu W.
europepmc   +1 more source

MoEKAN: Multi-Scale Transformer-Based Gating KAN Experts Network for Time Series Forecasting. [PDF]

Sensors (Basel)
Kim D, Kang J, Hwang H, Kim H.
europepmc   +1 more source

Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids. [PDF]

Sci Rep
Tayseer M, Talaat M, Zamel AA, Sedhom BE, Elgamal M, Senjyu T, Song D, Ibrahim IM, Elkholy MH.   +8 more
europepmc   +1 more source

Long-term forecasting of the impact of EV home charging at different adoption rates on the Egyptian load profile. [PDF]

Sci Rep
Beshay DSR, Shafei MAR, Ibrahim DK.
europepmc   +1 more source

Electricity price forecasting with ensemble meta-models and SHAP explainers: a PCA-driven approach. [PDF]

Sci Rep
Hayati A, Gharehveran SS, Shirini K.
europepmc   +1 more source

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Short-term load forecasting based on load profiling

2013 IEEE Power & Energy Society General Meeting, 2013
Load forecasting has gradually becoming a major field of research in electricity industry. Therefore, Load forecasting is extremely important for the electric sector under deregulated environment as it provides a useful support to the power system management. Accurate power load forecasting models are required to the operation and planning of a utility
Ramos, Sérgio, Soares, João, Vale, Zita, Ramos, Sandra   +3 more
openaire   +2 more sources

Robust short-term load forecasting

International Workshop on Systems, Signal Processing and their Applications, WOSSPA, 2011
Analyzing the stochastic characteristics of electric consumption series in many countries shows the presence of atypical observations or outliers. Outliers are deviant data points that do not follow the model of the majority of observations. They significantly degrade the accuracy of conventional day-ahead estimation and forecasting methods even if ...
Yacine Chakhchoukh, Abdelhak M. Zoubir
openaire   +1 more source