Results 21 to 30 of about 7,202 (166)
Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks [PDF]
Hydrology and Earth System Sciences, 2022 Ingesting near-real-time observation data is a critical component of many operational hydrological forecasting systems. In this paper, we compare two strategies for ingesting near-real-time streamflow observations into long short-term memory (LSTM ...
G. S. Nearing +8 more
doaj +1 more source
Известия Томского политехнического университета: Инжиниринг георесурсов, 2023 One of the main problems in building energy-efficient and non-resource-intensive decentralized power supply systems in the Arctic zone and regions of the Far North is forecasting the consumption of electrical energy by small northern settlements.
Yusup. N. Isaev +3 more
doaj +1 more source
Autoregressive functions estimation in nonlinear bifurcating autoregressive models [PDF]
Statistical Inference for Stochastic Processes, 2016 Bifurcating autoregressive processes, which can be seen as an adaptation of au-toregressive processes for a binary tree structure, have been extensively studied during the last decade in a parametric context. In this work we do not specify any a priori form for the two autoregressive functions and we use nonparametric techniques.
Bitseki Penda, Siméon Valère +1 more
openaire +2 more sources
Applied Sciences, 2023 Relatively large deformations of the steel arch support in underground coal mines in the Republic of Serbia present one of the main problems for achieving the planned production of coal.
Luka Crnogorac +4 more
doaj +1 more source
Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting
Цифровая трансформация, 2019 Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed.
S. V. Sholtanyuk
doaj +1 more source
Multivariate count autoregression [PDF]
Bernoulli, 2020 We are studying the problems of modeling and inference for multivariate count time series data with Poisson marginals. The focus is on linear and log-linear models. For studying the properties of such processes we develop a novel conceptual framework which is based on copulas.
Fokianos, Konstantinos +3 more
openaire +6 more sources
Dynamic spatial autoregressive models with autoregressive and heteroskedastic disturbances [PDF]
Journal of Applied Econometrics, 2016 SummaryWe propose a new class of models specifically tailored for spatiotemporal data analysis. To this end, we generalize the spatial autoregressive model with autoregressive and heteroskedastic disturbances, that is, SARAR(1, 1), by exploiting the recent advancements in score‐driven (SD) models typically used in time series econometrics.
Leopoldo Catania, Anna Gloria Billé
openaire +4 more sources
Saturation in autoregressive models [PDF]
Notas Económicas, 2006 In this paper, we extend the impulse saturation algorithm to a class of dynamic models. We show that the procedure is still correctly sized for stationary AR(1) processes, independently of the number of splits used for sample partitions. We derive theoretical power when there is an additive outlier in the data, and present simulation evidence showing ...
Carlos Santos, David Hendry
openaire +6 more sources
Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
JOIV: International Journal on Informatics Visualization, 2023 Numerous research studies are currently examining various measures to control the transmission of COVID-19. One essential task in this regard is predicting or forecasting the number of infected individuals.
I Made Artha Agastya, Afrig Aminuddin
doaj +1 more source
Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Energies, 2023 Short-term load forecasting (STLF) is critical for the energy industry. Accurate predictions of future electricity demand are necessary to ensure power systems’ reliable and efficient operation.
Saima Akhtar +7 more
doaj +1 more source