Marius Paulescu

ORCID: 0000-0002-3232-243X
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About
Contact & Profiles
Research Areas
  • Solar Radiation and Photovoltaics
  • Photovoltaic System Optimization Techniques
  • Solar Thermal and Photovoltaic Systems
  • Atmospheric aerosols and clouds
  • solar cell performance optimization
  • Energy Load and Power Forecasting
  • Impact of Light on Environment and Health
  • Urban Heat Island Mitigation
  • Silicon and Solar Cell Technologies
  • Atmospheric Ozone and Climate
  • Calibration and Measurement Techniques
  • Grey System Theory Applications
  • Semiconductor Quantum Structures and Devices
  • Greenhouse Technology and Climate Control
  • Energy and Environment Impacts
  • Meteorological Phenomena and Simulations
  • Cold Atom Physics and Bose-Einstein Condensates
  • Infrared Target Detection Methodologies
  • Remote Sensing and LiDAR Applications
  • Solar and Space Plasma Dynamics
  • Quantum Dots Synthesis And Properties
  • Climate variability and models
  • Photovoltaic Systems and Sustainability
  • Plant Water Relations and Carbon Dynamics
  • Advanced Image Fusion Techniques

West University of Timişoara
2016-2025

Polytechnic University of Timişoara
2011-2018

Gheorghe Asachi Technical University of Iași
2014

University of the West
2003

10.1016/j.renene.2019.05.075 article EN Renewable Energy 2019-05-18

The interest in the integration of distributed energy resources microgrids increased significantly last decade. stochastic nature some sources and dynamic power demand has brought difficulties regarding optimal control microgrids. This current study addresses management challenge an islanded hybrid microgrid that includes three types renewable (photovoltaic, geothermal biomass) a battery storage system, using intelligent methods optimize production costs. proposed are based on cost function...

10.1016/j.egyr.2023.10.088 article EN cc-by-nc-nd Energy Reports 2023-11-01

10.1007/s00704-010-0312-9 article EN Theoretical and Applied Climatology 2010-08-04

Abstract Accurate photovoltaic (PV) power forecasting is vital for grid integration of PV plants. This study proposes a hybrid model nowcasting, combining two-state empirical with machine learning techniques. The forecasts based on sunlight availability, indicated by the sunshine number (SSN). SSN predicted using principal component analysis and decision tree ensembles, input derived from sky images. A simple neural network aggregates available data forecast to provide an adjusted forecast....

10.35848/1347-4065/adb8f6 article EN cc-by Japanese Journal of Applied Physics 2025-02-21

The broadband spectrum of solar radiation is commonly characterized by indices such as the average photon energy (APE) and blue fraction (BF). This work explores effectiveness two in a narrower spectral band, namely ultraviolet (UV). analysis carried out from perspectives: sensitivity to changes UV uniqueness (each index value uniquely characterizes single spectrum). evaluation performed relation induced main atmospheric attenuators band: ozone aerosols. Synthetic spectra are generated...

10.3390/atmos16040427 article EN cc-by Atmosphere 2025-04-06

10.1007/s00704-003-0731-y article EN Theoretical and Applied Climatology 2003-09-01
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