Results 51 to 60 of about 23,189,989 (210)
SSA-LSTM: Short-Term Photovoltaic Power Prediction Based on Feature Matching
Energies, 2022 To reduce the impact of volatility on photovoltaic (PV) power generation forecasting and achieve improved forecasting accuracy, this article provides an in-depth analysis of the characteristics of PV power outputs under typical weather conditions.
Zhengwei Huang, Jin Huang, Jintao Min
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Advanced Science, EarlyView.Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
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Rainfall Forecasting Using the Singular Spectrum Analysis (SSA) Method
Jurnal VarianThis study aims to evaluate the accuracy and performance of rainfall data forecasting in the city of Parepare using the Singular Spectrum Analysis (SSA) method. Situated in South Sulawesi Province, Parepare City is characterized by high rainfall intensity, which increases the likelihood of natural hazards such as flooding and landslides.
Nurhikmawati Nurhikmawati +2 more
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IMA Journal of Management Mathematics, 2023 Abstract Accepted by: Konstantinos Nikolopoulos One of the challenges of emergency ambulance demand (EAD) time series prediction lies in their non-stationary nature. We study this important problem and propose two hybrid forecasting models, which combine the singular spectrum analysis (SSA) time-series technique with ...
Wang, Jing +7 more
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Forecasting Mortality Rate by Singular Spectrum Analysis
Revstat Statistical Journal, 2015 Singular spectrum analysis (SSA) is a relatively new and powerful non-parametric time series analysis technique that has demonstrated its capability in forecasting different time series in various disciplines.
Rahim Mahmoudvand +2 more
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Advanced Science, EarlyView.We report Mn‐deficient aerogels by inducing the first gelation of MnO2 nanosheets in solution using divalent metal ions as crosslinking agents, thereby inhibiting nanosheet restacking and enhancing surface utilization. Benefiting from abundant Mn vacancies and 3D porous structures, the A‐MnO2 cathode exhibits improved conductivity, fast reaction ...
Yalei Wang +6 more
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Multivariate posterior singular spectrum analysis [PDF]
, 2017 A generalized, multivariate version of the Posterior Singular Spectrum Analysis (PSSA) method is described for the identification of credible features in multivariate time series.
Launonen, Ilkka, Holmström, Lasse
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Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors
Advanced Science, EarlyView.Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka +3 more
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Advanced Science, EarlyView.Single–atom iron anchored on nitrogen–doped porous biochar exhibited ultra–efficient performance, exceptional environmental resilience, and integrated adsorption–oxidation functionality. The multifunctional architecture of the support and the unparalleled reactivity of single–atom iron underpinned the cooperative adsorption and oxidation of As(III ...
Tao Sun +8 more
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Forecasting Daily Exchange Rates
Revstat Statistical Journal, 2019 In this paper, daily exchange rates in four of the BRICS emerging economies: Brazil, India, China and South Africa, over the period 2001 to 2015 are considered.
Rahim Mahmoudvand +2 more
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