Results 71 to 80 of about 1,263,282 (314)

One-Month-Ahead Wind Speed Forecasting Using Hybrid AI Model for Coastal Locations

IEEE Access, 2020
Wind speed forecasts can boost the quality of wind energy generation by increasing the efficiency and enhancing the economic viability of this variable renewable resource.
Mohammed Bou-Rabee, Kaif Ahmed Lodi, Mohammad Ali, Mohd Faizan Ansari, Mohd Tariq, Shaharin Anwar Sulaiman   +5 more
doaj   +1 more source

A double-sided silicon micro-strip super-module for the ATLAS inner detector upgrade in the high-luminosity LHC [PDF]

, 2014
The ATLAS experiment is a general purpose detector aiming to fully exploit the discovery potential of the Large Hadron Collider (LHC) at CERN. It is foreseen that after several years of successful data-taking, the LHC physics programme will be extended ...
Affolder, A A, Allport, P P, Anghinolfi, F, Barbier, G, Bates, R., Beck, G, Benitez, V, Bernabeu, J, Blanchot, G, Bloch, I, Blue, A., Booker, P, Brenner, R, Buttar, C., Cadoux, F, Carroll, J, Casse, G, Church, I, Civera, J V, Clark, A, Dervan, P, Díez, S, Endo, M, Fadeyev, V, Farthouat, P, Favre, Y, Ferrere, D, French, R, Friedrich, C, Gallop, B, García, C, Gibson, M, Gonzalez-Sevilla, S, Greenall, A, Gregor, I, Grillo, A, Haber, C H, Hanagaki, K, Hara, K, Hauser, M, Haywood, S, Hessey, N, Hill, J, Hommels, L B A, Iacobucci, G, Ikegami, Y, Jones, T, Kaplon, J, Kuehn, S, Lacasta, C, Lynn, D, Mahboubin, K, Marco, R, Marra, D La, Martí-García, S, Martínez-McKinney, F, Matheson, J, McMahon, S, Nelson, D, Newcomer, F M, Parzefall, U, Phillips, P W, Sadrozinski, H F -W, Santoyo, D, Seiden, A, Soldevila, U, Spencer, E, Stanitzki, M, Sutcliffe, P, Takubo, Y, Terada, S, Tipton, P, Tsurin, I, Ullán, M, Unno, Y, Villani, E G, Warren, M, Weber, M, Wilmut, I, Witharm, R, Wonsak, S, Wormald, M   +81 more
core   +1 more source

An Adaptive Optimization Algorithm Based on Hybrid Power and Multidimensional Update Strategy

IEEE Access, 2019
Recently, the adaptive learning rate optimization algorithm has shown excellent performances in the field of deep learning. However, the exponential moving average method can lead to convergence problem in some cases, such as it only converges to the sub-
Jun Hu, Wendong Zheng
semanticscholar   +1 more source

Photovoltaic Power Generation Forecasting Using a Novel Hybrid Intelligent Model in Smart Grid

Computational Intelligence and Neuroscience, 2022
The exponential growth of electrical demand and the integration of renewable energy sources (RES) brought new challenges in the traditional grid about energy quality.
A. Boum, Vinny Junior Foba Kakeu, C. Mbey, Felix Ghislain Yem Souhe   +3 more
semanticscholar   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Forecasting Electricity Load With Hybrid Scalable Model Based on Stacked Non Linear Residual Approach

Frontiers in Energy Research, 2021
Power has totally different attributes than other material commodities as electrical energy stockpiling is a costly phenomenon. Since it should be generated when demanded, it is necessary to forecast its demand accurately and efficiently.
Ayush Sinha, Raghav Tayal, Aamod Vyas, Pankaj Pandey, O. P. Vyas   +4 more
doaj   +1 more source

Concurrent Optimization of Vehicle Dynamics and Powertrain Operation Using Connectivity and Automation

, 2020
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce energy consumption and travel delays. In this paper, we propose a two-level control architecture for CAVs to optimize (1) the vehicle's speed profile, aimed at ...
Mahbub, A M Ishtiaque, Malikopoulos, Andreas A.   +1 more
core   +1 more source

Multi-Objective Hybrid Optimization for Optimal Sizing of a Hybrid Renewable Power System for Home Applications

Energies, 2022
An optimal energy mix of various renewable energy sources and storage devices is critical for a profitable and reliable hybrid microgrid system. This work proposes a hybrid optimization method to assess the optimal energy mix of wind, photovoltaic, and ...
Md. Arif Hossain, Ashik Ahmed, S. R. Tito, R. Ahshan, Taiyeb Hasan Sakib, S. Nengroo   +5 more
semanticscholar   +1 more source

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

Advanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De, Giovanni Meli, Meysam Khalighian, Anahita Emami   +3 more
wiley   +1 more source

Multiobjective optimization for hydro‐photovoltaic hybrid power system considering both energy generation and energy consumption

Energy Science & Engineering, 2018
Hydropower can be an ideal compensation for fluctuant photovoltaic (PV) power due to its flexibility. In this study, a multiobjective optimization model considering energy generation and consumption simultaneously for a hydro‐PV hybrid power system is ...
Fangfang Li, Jun Qiu, Jia-Hua Wei
semanticscholar   +1 more source