Search Results - "Khosravi, A."

Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil by Khosravi, A., Machado, L., Nunes, R.O.

“…•Machine learning algorithms are developed to predict the time-series wind speed data.•The developed models are MLFFNN, SVR, FIS, ANFIS, ANFIS-PSO, ANFIS-GA…”
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Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms by Khosravi, A., Koury, R.N.N., Machado, L., Pabon, J.J.G.

“…Accurate forecasting of renewable energy sources plays a key role in their integration into the grid. This study proposes machine learning algorithms to…”
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Replacing hard coal with wind and nuclear power in Finland- impacts on electricity and district heating markets by Khosravi, A., Olkkonen, V., Farsaei, A., Syri, S.

“…Finland has recently adopted a high profile in climate change mitigation. Finland has declared a national target of achieving carbon neutrality by 2035. As a…”
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Waste heat recovery from a data centre and 5G smart poles for low-temperature district heating network by Khosravi, A., Laukkanen, T., Vuorinen, V., Syri, S.

“…The city of Espoo, Finland is planning to develop Kera as a green suburb with high level of energy efficiency and low CO2 emissions, using a high share of…”
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Optimal technology for a hybrid biomass/solar system for electricity generation and desalination in Brazil by Khosravi, A., Santasalo-Aarnio, A., Syri, S.

“…In this study, an energy and economic analysis of a novel hybrid system based on a biomass/solar system equipped with a multi-effect desalination unit is…”
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Discrete element model (DEM) simulations of cone penetration test (CPT) measurements and soil classification by Khosravi, A, Martinez, A, DeJong, J.T

“…This paper presents a study on the simulation of cone penetration tests (CPTs) using the discrete element model (DEM) method. This study’s main objective is to…”
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Comparison of artificial intelligence methods in estimation of daily global solar radiation by Khosravi, A., Nunes, R.O., Assad, M.E.H., Machado, L.

“…Assessment of solar potential over a location of interest is introduced as an important step for the successful planning of solar energy systems (photovoltaic…”
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Energy, exergy and economic analysis of a hybrid renewable energy with hydrogen storage system by Khosravi, A., Koury, R.N.N., Machado, L., Pabon, J.J.G.

“…The goal of this study is to define and assess an off-grid hybrid renewable energy with hydrogen storage system. The system combines solar and wind energy,…”
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Thermodynamic and economic analysis of a hybrid ocean thermal energy conversion/photovoltaic system with hydrogen-based energy storage system by Khosravi, A., Syri, Sanna, Assad, M.E.H., Malekan, M.

“…The purpose of this study is to define and assess a new, renewable and sustainable energy supply system for islands and remote area where ocean thermal energy…”
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Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts by Khosravi, Abbas, Nahavandi, Saeid, Creighton, Doug

“…Quantification of uncertainties associated with wind power generation forecasts is essential for optimal management of wind farms and their successful…”
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Robust optimal constrained control of fully-constrained cable-driven parallel robots based on GSDRE by Marufkhani, Hanie, Khosravi, Mohammad A.

“…This paper addresses constrained robust optimal control of Cable-Driven Parallel Robots (CDPRs) in detail. In the CDPRs, cables should remain in tension for…”
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Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals by Khosravi, A, Nahavandi, S, Creighton, D, Atiya, A F

“…Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point…”
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Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system by Khosravi, A., Koury, R.N.N., Machado, L., Pabon, J.J.G.

“…•Using MLAs to predict wind speed, wind direction and output power of a wind turbine.•MLFFNN, SVR and ANFIS methods are the forecasting models.•Partial swarm…”
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Thermo-economic analysis and sizing of the components of an ejector expansion refrigeration system by Khosravi, A., Koury, R.N.N., Machado, L.

“…•An ejector expansion refrigeration system (EERS) as an alternative system was proposed to provide the cold water for a refinery.•A thermodynamic model based…”
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The stability of non-uniform self gravitating system in the presence of non-uniform CRs pressure by Mehdinezhad, K., Khosravi, A., Nejad-Asghar, M.

“…In this paper, we try to study the equilibrium structure and stability of a non-uniform self gravitating gaseous slab in vertical direction and in the presence…”
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Stability of radiation-pressure-dominated magnetized discs under a delayed viscosity prescription by Khosravi, A., Khesali, A. R.

“…Abstract In this paper, the stability of radiation–pressure-dominated accretion discs in the presence of magnetic field and the time delay between the stress…”
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Self-gravity in magnetized accretion discs as a result of a dynamo mechanism with outflows by Karimzadeh, S, Khesali, A R, Khosravi, A

“…ABSTRACT We investigate the stationary model of a geometrically thin, magnetized accretion disc, which has a dipole-symmetry magnetic field that is produced by…”
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An artificial intelligence approach for thermodynamic modeling of geothermal based-organic Rankine cycle equipped with solar system by Khosravi, A., Syri, S., Zhao, X., Assad, M.E.H.

“…•Developing an intelligent approach for modeling of geothermal organic Rankine cycle.•The intelligent methods are ANFIS optimized with PSO (ANFIS-PSO) and…”
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Designing a Robust Predictive Controller to Prevent Rate-Limiter-Based Pilot-Induced Oscillations in the Frequency Domain by Rezaei, P., Khosravi, A.

“…This paper aims to design a generalized predictive controller in frequency domain as two degrees-of-freedom controller with a Self-Tuning Regulator (STR)…”
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A database for using machine learning and data mining techniques for coronary artery disease diagnosis by Alizadehsani, R., Roshanzamir, M., Abdar, M., Beykikhoshk, A., Khosravi, A., Panahiazar, M., Koohestani, A., Khozeimeh, F., Nahavandi, S., Sarrafzadegan, N.

“…We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted…”
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