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1021 - 1030 von 64953

	1021	Optimal allocation of hybrid renewable energy sources using progressive L-index method for voltage stability margin enhancement and impact of storage devices Enthalten in International journal of emerging electric power systems Bd. 26, 2025, Nr. 5: 879-903. 25 S.
	1022	Theoretical – experimental investigation of performance enhancement of a PV system using evaporative cooling Enthalten in International journal of emerging electric power systems Bd. 26, 2025, Nr. 5: 829-848. 20 S.
	1023	Investigating the short-circuit endurance of 220 kV transformer in a 400 kV grid system Enthalten in International journal of emerging electric power systems Bd. 26, 2025, Nr. 5: 793-802. 10 S.
	1024	Constraining urban fossil fuel CO<sub>2</sub> emissions in Seoul using combined ground and satellite observations with Bayesian inverse modelling Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 24: 18509-18526. 18 S.
	1025	Microfluidic immersion freezing of binary mineral mixtures containing microcline, montmorillonite, or quartz Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 23: 17997-18014. 18 S.
	1026	Molecular evidence on potential contribution of marine emissions to aromatic and aliphatic organic sulfur and nitrogen aerosols in the South China Sea Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 20: 13621-13634. 14 S.
	1027	Lagrangian single-column modeling of Arctic air mass transformation during HALO-(??? ?)<sup>3</sup> Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 20: 13177-13198. 22 S.
	1028	Factors causing stratocumulus to deviate from subtropical high variability on seasonal to interannual timescales Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 18: 10511-10521. 11 S.
	1029	Multi-observational estimation of regional and sectoral emission contributions to the persistent high growth rate of atmospheric CH<sub>4</sub> for 2020–2022 Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 13: 6757-6785. 29 S.
	1030	Assessing the predictive capability of several machine learning algorithms to forecast snow avalanches using numerical weather prediction model in eastern Canada Enthalten in Natural hazards and earth system sciences Bd. 25, 2025, Nr. 12: 5033-5053. 21 S.