Results 21 to 30 of about 146,575 (268)

The Effect of Lead-Time Weather Forecast Uncertainty on Outage Prediction Modeling

open access: yesForecasting, 2021
Weather-related power outages affect millions of utility customers every year. Predicting storm outages with lead times of up to five days could help utilities to allocate crews and resources and devise cost-effective restoration plans that meet the ...
Feifei Yang   +2 more
doaj   +1 more source

Editorial for Special Issue “New Frontiers in Forecasting the Business Cycle and Financial Markets”

open access: yesForecasting, 2021
The global financial crisis of 2007–2009 and the COVID-19 pandemic have heightened uncertainty in financial markets and the business cycle [...]
Alessia Paccagnini
doaj   +1 more source

THE ECONOMIC STRUCTURES IN THE ROMANIAN REGIONS AND COUNTIES AND THE EU MEMBER STATES. COMPARATIVE ANALYSES. [PDF]

open access: yesStrategii Manageriale, 2014
Bridging the gap between countries, and thus decresing poverty, is the greatest challenge of European countries in the context of the European social cohesion.
Marioara, IORDAN   +3 more
doaj  

SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting

open access: yesForecasting, 2022
Accurate forecasts of the number of newly infected people during an epidemic are critical for making effective timely decisions. This paper addresses this challenge using the SIMLR model, which incorporates machine learning (ML) into the epidemiological ...
Roberto Vega   +2 more
doaj   +1 more source

Prediction of Autonomy Loss in Alzheimer’s Disease

open access: yesForecasting, 2021
The evolution of functional autonomy loss leads to institutionalization of people affected by Alzheimer’s disease (AD), to an alteration of their quality of life and that of their caregivers.
Anne-Sophie Nicolas   +4 more
doaj   +1 more source

For2For: Learning to forecast from forecasts

open access: yesCoRR, 2020
This paper presents a time series forecasting framework which combines standard forecasting methods and a machine learning model. The inputs to the machine learning model are not lagged values or regular time series features, but instead forecasts produced by standard methods.
Shi Zhao, Ying Feng
openaire   +2 more sources

On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic

open access: yesAnnals of Glaciology
This study investigates the impacts of the timing of an extreme cyclone that occurred in August 2012 on the sea-ice volume evolution based on the Arctic Ice Ocean Prediction System (ArcIOPS).
Zhongxiang Tian   +5 more
doaj   +1 more source

Nowcasting GDP: An Application to Portugal

open access: yesForecasting, 2022
Forecasting the state of an economy is important for policy makers and business leaders. When this is conducted in real-time, it is called nowcasting.
João B. Assunção   +1 more
doaj   +1 more source

The forecast trap

open access: yesEcology Letters, 2022
Abstract Encouraged by decision makers’ appetite for future information on topics ranging from elections to pandemics, and enabled by the explosion of data and computational methods, model‐based forecasts have garnered increasing influence on a breadth of decisions in modern society.
openaire   +3 more sources

Modelling Financial Markets during Times of Extreme Volatility: Evidence from the GameStop Short Squeeze

open access: yesForecasting, 2022
Ever since the start of the coronavirus pandemic, lockdowns to curb the spread of the virus have resulted in an increased interest of retail investors in the stock market, due to more free time, capital, and commission-free trading brokerages.
Boris Andreev   +2 more
doaj   +1 more source

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