Multiple data typesMultiple time-seriesBoosted by a strong solar power market,the electricity grid is exposed to risk under an increasing share of fluctuant solar power.To increase the stability of the electricity grid,an accurate solar power forecast is needed to evaluate such fluctuations.In terms...
Association between air pollution and mortality due to respiratory diseases in children in So Paulo, Brazil: a preliminary report. This work presents the results of a time series study relating air pollution and respiratory mortality in children under 5 years of age in the metropolitan... PHN Sal...
On the other hand, time series obtained putting together speckle interferometry and high contrast imaging data are very precious to follow the orbital motion. Fig. 2 Distribution of the mass ratio q in binary systems discovered within the high contrast imaging SHINE survey with separation (from [...
2023 Update:We discuss our plans for the future of Prophet in this blog post:facebook/prophet in 2023 and beyond Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects...
This work investigates the online multiple time series search problem. Given a storage with finite capability, a player receives one product for sale and observes a selling price as well at each period. With the knowledge that prices in all periods vary within [m,M] (0<m<M), the player ...
Additional limitations include frequently incomplete daily observation time series values, which can lead to biases when averaging observations from varying numbers of sites per day. Also, data availability from these networks is higher in more recent periods10, leading to inconsistencies in the prior ...
the system dynamics software STELLA Architect v.1.6.1 (ref.39), with outputs exported into CSV files as time series and analysed in the statistical software R v.4.1.0 (ref.60). The models, example data and code used in the analyses are available viahttps://doi.org/10.5281/zenodo....
In summary, when the process noise is multiple-step correlated, q recursive terms Nk,τ(τ=q−1,...,1) and Tk,q need to be added to compute the time-update; namely, the global one-step prediction as well as its associated error covariance. Then, the measurement-update is the ...
Yager introduced the concept of the OWA operator in 1988 to solve the MCDM problems, and to generate an overall decision function [47]. Definition 6. An OWA operator of dimension n is a mapping of 𝑂𝑊𝐴: 𝑅𝑛→𝑅OWA: Rn→R, with an associated weighting vector W of dimension...
The drop in the bubble size towards the end of the time series was because the bubble reached the end of the observation area. Based on the measured bubble size, the deformation rate of the individual bubbles was defined as in Equation (1), where 𝑃𝑡Pt was the pixels covered by an...