Results 71 to 80 of about 441 (221)

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Numerical study of vortex rope during load rejection of a prototype pump-turbine

IOP Conference Series: Earth and Environmental Science, 2012
A transient process of load rejection of a prototype pump-turbine was studied by three dimensional, unsteady simulations, as well as steady calculations.Dynamic mesh (DM) method and remeshing method were used to simulate the rotation of guide vanes and runner. The rotational speed of the runner was predicted by fluid couplingmethod.
J T Liu, S H Liu, Y K Sun, Y L Wu, L Q Wang   +4 more
openaire   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

Spectral Techniques for Solving PDE Stability Model of Vortex Rope

, 2012
In this paper spectral methods are applied to investigate the hydrodynamic instability of swirling flow with application to Francis hydraulic turbine. Spectral methods imply representing the problem solution as truncated series of smooth global functions.
openaire   +2 more sources

Systematic Deciphering of ATBC Nephrotoxicity Mechanisms via Machine Learning and Single‐Cell Analysis

Medicine Bulletin, EarlyView.
This study elucidates the nephrotoxic mechanism of acetyl tributyl citrate (ATBC) by integrating network toxicology, machine learning, and single‑cell multi‑omics analysis to systematically decipher the molecular mechanisms and cell‑type‑specific regulatory networks underlying ATBC‑induced kidney injury. First, a protein‑protein interaction network was
Yimao Wu, Yalun Liang, Jintao Liang, Wenlong Sun, Qian Zhang, Meng‐Yao Li   +5 more
wiley   +1 more source

Enhancing Bulb Turbine Performance Assessing Air Injection for Vibration Mitigation and Hydrofoil Cavitation [PDF]

Journal of Applied Fluid Mechanics
Small hydro technology is playing a crucial role in advancing sustainable, clean energy policies as part of the global hydro development strategy. Its contribution to social and economic development is becoming more prominent, particularly in ensuring ...
S. Praveen, S. Marimuthu, B. Alqahtani, G. Bharathiraja, G. Gokilakrishnan   +4 more
doaj   +1 more source

MRI‐based qualitative, quantitative, and radiomics/deep learning methods for assessing treatment response after neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer

Precision Radiation Oncology, EarlyView.
MRI, owing to its superior soft tissue contrast and spatial resolution, has become the preferred noninvasive modality for assessing nCRT efficacy. This review synthesizes current evidence on MRI‐based assessment of nCRT efficacy in LARC and discusses future directions.
Shuang Chen, Lin Liu, Guangwei Tian, Ruimei Chai   +3 more
wiley   +1 more source

Flow Field Analysis of Francis Turbine Draft Tube using POD at Design and Part Load Operating Conditions [PDF]

Journal of Applied Fluid Mechanics
The hydraulic turbines, especially Francis turbines, frequently run at part load (PL) conditions to meet the dynamic energy needs. The flow field at the runner exit changes significantly with a change in the operating point.
S. Kumar, M. J. Cervantes, B. K. Gandhi
doaj   +1 more source

Experimental investigation of vortex rope mitigation in a 10 MW axial turbine

Renewable Energy
Increased utilization of hydraulic turbines as a regulatory tool for electrical grid stabilization forces some turbines to operate away from their design point, thus increasing wear and tear. In here, rotating vortex rope (RVR) mitigation by means of radial insertion of cylindrical rods in the draft tube is investigated experimentally on a 10 MW Kaplan
L.R. Joel Sundstrom, Shahab Shiraghaee, Pontus P. Jonsson, Michel J. Cervantes   +3 more
openaire   +2 more sources

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal, Sara Malvar, Ranveer Chandra, Baraem P. Ismail   +3 more
wiley   +1 more source