Results 221 to 230 of about 649,385 (296)

A Biologically‐Architected Wear and Damage‐Resistant Nanoparticle Coating From the Radular Teeth of Cryptochiton stelleri

Advanced Functional Materials, EarlyView.
The ultrahard teeth of mollusks that feed on rocky substrates contain a wear‐resistant coating on their surfaces consisting of densely packed mesocrystalline magnetic nanoparticles within an organic matrix. These coatings display significant hardness and toughness through their highly controlled mesocrystalline architectures.
Taifeng Wang, Yu Chen, Ezra Sarmiento, Taige Hao, Atsushi Arakaki, Michiko Nemoto, Pablo Zavattieri, David Kisailus   +7 more
wiley   +1 more source

A hybrid AI model integrating BKA-VMD and deep neural networks for industrial power load prediction. [PDF]

PLoS One
Luo Y, Guo C, Pan M, Zhou H.
europepmc   +1 more source

Federated two-edge graph attention network with weighted global aggregation for electricity consumption demand forecasting. [PDF]

Sci Rep
Yang M, Ren J, Zeng L, Yang X, Li S, Ai Y, Zheng K.   +6 more
europepmc   +1 more source

Short term demand forecasting of electric vehicle charging stations using context aware temporal transformer model. [PDF]

Sci Rep
Hussain A, Lu QC, Rizvi SS, Wang S, Kwon SJ.   +4 more
europepmc   +1 more source

Credible capacity evaluation of virtual power plants considering wind and PV uncertainties. [PDF]

Sci Rep
Li C, Dai J, Zhu S, Guo R, Liu Z, Jiang Y, Tian S, Wen Y.   +7 more
europepmc   +1 more source

Longitudinal Dataset of Net-load, PV Production and Solar Irradiation from Madeira Island, Portugal. [PDF]

Sci Data
Pereira L, Monteiro D, Apina F, Scuri S, Barreto M, Quintal F, Morais H.   +6 more
europepmc   +1 more source

Air Conditioning Load Data Generation Method Based on DTW Clustering and Physically Constrained TimeGAN. [PDF]

Sensors (Basel)
Li Y, Yang X, Jia D, Sheng W, Liu K, Lin R.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

A Reliable Short‐Term Power Load Forecasting Method Based on VMD‐IWOA‐LSTM Algorithm

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2022
To reduce the short‐term load forecasting (STLF) error of off‐line forecasting model, a VMD‐IWOA‐LSTM (VIL) method for STLF is proposed. Firstly, variational mode decomposition (VMD) is used to decompose the historical power load signals.
Zhiyuan Zhuang, Xidong Zheng, Zixing Chen, Tao Jin   +3 more
semanticscholar   +1 more source

Detection, mining and forecasting of impact load in power load forecasting

Applied Mathematics and Computation, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Jianzhou, Ma, Zhixin, Li, Lian
openaire   +2 more sources

Short-term power load forecasting based on BiGRU-Attention-SENet model

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2022
Due to the randomness of weather conditions, the complexity of power demands and the nonlinearity of high-dimensional data, traditional regression analysis, and time series forecasting methods can no longer meet the current requirements of high-precision
Yucheng Xu, Xuchu Jiang
semanticscholar   +1 more source