Results 31 to 40 of about 24,485,484 (328)

Benchmark Comparison of Analytical, Data-Based and Hybrid Models for Multi-Step Short-Term Photovoltaic Power Generation Forecasting

Energies, 2020
Accurately forecasting power generation in photovoltaic (PV) installations is a challenging task, due to the volatile and highly intermittent nature of solar-based renewable energy sources.
Athanasios I. Salamanis, Georgia Xanthopoulou, Napoleon Bezas, Christos Timplalexis, Angelina D. Bintoudi, Lampros Zyglakis, Apostolos C. Tsolakis, Dimosthenis Ioannidis, Dionysios Kehagias, Dimitrios Tzovaras   +9 more
doaj   +1 more source

Gravitino production in hybrid inflationary models [PDF]

, 2000
It has been recently shown that it is possible to excite gravitinos in an expanding background due to a time varying scalar field oscillating at the bottom of the inflationary potential.
Bastero-Gil, Mar, Mazumdar, Anupam
core   +2 more sources

Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US

Environmental Research Letters, 2020
Incomplete representations of physical processes often lead to structural errors in process-based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow modeling errors but do not enforce physical consistency.
G. Konapala, S. Kao, S. Painter, Dan Lu
semanticscholar   +1 more source

Hybrid classical-quantum formulations ask for hybrid notions [PDF]

, 2012
We reappraise some of the hybrid classical-quantum models proposed in the literature with the goal of retrieving some of their common characteristics.
Barceló, Carlos, Carballo-Rubio, Raúl, Garay, Luis J., Gómez-Escalante, Ricardo   +3 more
core   +4 more sources

Hybrid Feedback Control Methods for Robust and Global Power Conversion [PDF]

, 2015
In this paper, the applicability and importance of hybrid system tools for the design of control algorithms for energy conversion in power systems is illustrated in two hybrid control designs, one pertaining to DC/DC conversion and the other to DC/AC ...
Chai, J, Sanfelice, RG
core   +1 more source

Hybrid Atlas models

, 2011
We study Atlas-type models of equity markets with local characteristics that depend on both name and rank, and in ways that induce a stable capital distribution.
Banner, Adrian, Fernholz, Robert, Ichiba, Tomoyuki, Karatzas, Ioannis, Papathanakos, Vassilios   +4 more
core   +1 more source

Cosmic structure formation in Hybrid Inflation models [PDF]

, 1998
A wide class of inflationary models, known as Hybrid Inflation models, may produce topological defects during a phase transition at the end of the inflationary epoch.
A. Albrecht, A. Albrecht, A. Albrecht, A. Albrecht, A. D. Linde, A. D. Linde, A. H. Guth, A. Linde, A. Linde, A. Linde, A. Vilenkin, A. Vilenkin, A. Vilenkin, A. Vilenkin, B. Allen, B. Allen, B. Carter, B. J. Carr, C. Contaldi, C. Contaldi, C. J. A. P. Martins, D. Bennett, D. H. Lyth, E. D. Stewart, E. F. Bunn, E. Gawiser, E. Halyo, E. J. Copeland, G. Dvali, G. Lazarides, G. R. Vincent, I. Tkachev, J. A. Casa, J. A. Peacock, J. Garcia-Bellido, Jochen Weller, L. Kofman, M. Hindmarsh, P. Binetruy, P. Fayet, P. P. Avelino, P. P. Avelino, P. P. Avelino, R. A. Battye, R. A. Battye, R. A. Battye, R. A. Battye, R. Jeannerot, R. R. Caldwell, Richard A. Battye, T. W. B. Kibble, T. W. B. Kibble, T. W. B. Kibble, U. L. Pen, U. Seljak, W. Hu, W. Hu, Ya. B. Zel’dovich   +57 more
core   +2 more sources

Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models

Computer Modeling in Engineering & Sciences
Financial time series prediction, whether for classification or regression, has been a heated research topic over the last decade. While traditional machine learning algorithms have experienced mediocre results, deep learning has largely contributed to ...
Weisi Chen, Walayat Hussain, Francesco Cauteruccio, Xu Zhang   +3 more
semanticscholar   +1 more source

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Energies, 2019
Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy ...
Adrienn Dineva, Amir Mosavi, Sina Faizollahzadeh Ardabili, Istvan Vajda, Shahaboddin Shamshirband, Timon Rabczuk, Kwok–Wing Chau   +6 more
doaj   +1 more source

Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths

Engineering Applications of Computational Fluid Mechanics, 2020
This research aims to model soil temperature (ST) using machine learning models of multilayer perceptron (MLP) algorithm and support vector machine (SVM) in hybrid form with the Firefly optimization algorithm, i.e. MLP-FFA and SVM-FFA.
S. Shamshirband, Fatemeh Esmaeilbeiki, D. Zarehaghi, M. Neyshabouri, S. Samadianfard, M. Ghorbani, A. Mosavi, Narjes Nabipour, K. Chau   +8 more
semanticscholar   +1 more source