Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Reza Arghandeh"'
Transformer-based land use and land cover classification with explainability using satellite imagery
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Transformer-based models have greatly improved Land Use and Land Cover (LULC) applications. Their revolutionary ability to analyze and extract key information has greatly advanced the field. However, the high computational cost of these mode
Externí odkaz:
https://doaj.org/article/df7fb39a470a464eb76fee1f2c37f713
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 8, Pp 1455-1467 (2024)
Abstract This paper introduces a shape‐based inflow scenarios reduction framework applied in long‐term hydro‐thermal scheduling. This scheduling problem involves strategically managing the limited stored hydro energy in coordination with the el
Externí odkaz:
https://doaj.org/article/a83df5062ad148a4924f30516e2b1834
Publikováno v:
Energy and AI, Vol 16, Iss , Pp 100368- (2024)
Forecasting electricity demand is an essential part of the smart grid to ensure a stable and reliable power grid. With the increasing integration of renewable energy resources into the grid, forecasting the demand for electricity is critical at all l
Externí odkaz:
https://doaj.org/article/916622ad736c44cfba0240294fda0284
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
This paper presents a comprehensive review of super-resolution methods for smart meter data analysis. Smart meters provide valuable insights into household electricity consumption, but their low-frequency data limits the ability to capture detailed p
Externí odkaz:
https://doaj.org/article/02ea5430360842c4af24bcb25efa4d46
Autor:
Lukas Schild, Thomas Scheiber, Paula Snook, Reza Arghandeh, Stig Frode Samnøy, Alexander Maschler, Lene Kristensen
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractUnstable rock slopes pose a hazard to inhabitants and infrastructure in their vicinity, necessitating advanced monitoring methodologies for timely risk assessment and mitigation. Recent geotechnical monitoring techniques often rely on sensor
Externí odkaz:
https://doaj.org/article/14293c17eddd42238f12c2ec40e8d0a8
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100093- (2023)
Forest structure is an essential part of biodiversity and ecological analysis and provides crucial insights to address challenges in these areas. Modern sensor technologies unlock new possibilities for more advanced vegetation monitoring. This study
Externí odkaz:
https://doaj.org/article/6805d332d59c4046b734ca5720be95d7
Autor:
Mojtaba Yousefi, Jinghao Wang, Øivind Fandrem Høivik, Jayaprakash Rajasekharan, August Hubert Wierling, Hossein Farahmand, Reza Arghandeh
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Climate change affects patterns and uncertainties associated with river water regimes, which significantly impact hydropower generation and reservoir storage operation. Hence, reliable and accurate short-term inflow forecasting is vital to f
Externí odkaz:
https://doaj.org/article/422edc1e3bbd45569373b5196ffcc109
Autor:
Michele Gazzea, Amir Miraki, Onur Alisan, Monique M. Kuglitsch, Ivanka Pelivan, Eren Erman Ozguven, Reza Arghandeh
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Roadways are critical infrastructure in our society, providing services for people through and between cities. However, they are prone to closures and disruptions, especially after extreme weather events like hurricanes. At the same time, tr
Externí odkaz:
https://doaj.org/article/a33ac9378c1c4aa49e0212cecfc8d288
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4891-4899 (2023)
Accurate synthetic aperture radar-optical matching is essential for combining the complementary information from the two sensors. However, the main challenge is overcoming the different heterogeneous characteristics of the two imaging sensors. In thi
Externí odkaz:
https://doaj.org/article/d0642dfc7c5149868283e846753dae36
Autor:
Mengmeng Xiao, Wei Xie, Chen Fang, Shaorong Wang, Yan Li, Shu Liu, Zia Ullah, Xuejun Zheng, Reza Arghandeh
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 20, Pp 2883-2892 (2021)
Abstract This paper proposes a novel distribution line parameter estimation method, driven by the probabilistic data fusion of the distributed phasor measurement unit (D‐PMU) and the advanced measurement infrastructure. The synchronized and high‐
Externí odkaz:
https://doaj.org/article/12dca5eeac5948e0bdce1704721679f2