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Short-Term Scheduling of Cryogenic Energy Storage Systems in Microgrids Considering CHP-Thermal-Heat-Only Units and Plug-in Electric Vehicles
(University of Mohaghegh Ardabili, Faculty of Electrical Engineering, 2024-08)
With the exponential penetration of renewable energy sources (RES), the need for compatible scheduling of these has increased from economic and environmental points of view. Due to the high-efficiency and fast-response ...
Improving wind speed forecasting at Adama wind farm II in Ethiopia through deep learning algorithms
(Elsevier Ltd, 2024-06)
Wind power plays a critical role in supporting Ethiopia's electricity generation, particularly during dry seasons when hydropower availability diminishes. This contribution becomes even more crucial for sustaining industrial ...
Setting time, sulfuric acid resistance, and strength development of alkali-activated mortar with slag & fly ash binders
(Elsevier B.V., 2024-03)
This study evaluated the effect of initial molar ratios SiO2/Al2O3 and (CaO + SiO2)/Al2O3, on the setting time of mortar with alkali-activated Ground Granulated Blast Furnace Slag (GBS) and fly ash (FA) binders. The study ...
Towards explainability for AI-based edge wireless signal automatic modulation classification
(Springer Science and Business Media Deutschland GmbH, 2024-12)
With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed ...
Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction
(Elsevier Ltd, 2024-03)
In order to facilitate the carbon emission reduction to mitigate climate change, this paper proposes a coordinated multi-stage planning strategy for the transmission-level integrated electricity-gas-heating system. The ...
4E analysis and optimization of a novel hybrid biomass-solar system: Focusing on peak load management and environmental emissions
(Institution of Chemical Engineers, 2024-01)
Renewable energies are available as clean sources to replace fossil fuels. Providing continuous power without compromising the environment through hybridizing solar and biomass source is one of the promising solutions. ...
Characterisation of the transverse shear behaviour of binder-stabilised preforms for wind turbine blade manufacturing
(Elsevier Ltd, 2024-01-15)
Binder-stabilised preforms are being used increasingly in the production of large composite structures, such as wind turbine blades, to increase the throughput. The transverse shear behaviour of the preform is one of the ...
Hybrid Climate Forecasting: Variational Mode Decomposition and Convolutional Neural Network with Long-Term Short Memory
(HARD Publishing Company, 2024)
Ozone (O3) pollution has surfaced as a significant threat to urban air quality in contemporary years. The precise and efficient forecast of ozone levels is fundamental in the mitigation and management of ozone pollution. ...
Usage of radial basis function neural network for dual-energy radiative detection system for measuring the oil pipelines scale layer
(Elsevier Ltd, 2024-02)
Scaling oil pipelines over time leads to issues including diminished flow rates, wasted energy, and decreased efficiency. In order to take preventative measures in a timely manner and avoid the aforementioned issues, it ...
Direct numerical simulation of the drag, lift, and torque coefficients of high aspect ratio biomass cylindrical particles
(American Institute of Physics Inc., 2024-01)
Biomass straw fuel has the advantage of low-carbon sustainability, and therefore, it has been widely used in recent years in coupled blending combustion with coal-fired utility boilers for power generation. At present, the ...