Results 31 to 40 of about 8,462,031 (305)

Frequency and intensity of tropical disturbances over the Indian region and its neighboring seas with associated rainfall during the monsoon season: A perspective

open access: yesEngineering Reports, 2019
India, a leading developing country in the Asian continent, is worldwide famous for its diversified and complex monsoon rainfall system, and the factors associated with it.
Shobha Shivaram Nandargi   +1 more
doaj   +1 more source

Short-term rainfall nowcasting: using rainfall radar imaging [PDF]

open access: yes, 2009
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction.
Wang, Peng   +5 more
core   +2 more sources

Short‐term Prediction—An Overview

open access: yesWind Energy, 2003
AbstractThis article gives an overview of the different methods used today for predicting the power output from wind farms on the 1–2 day time horizon. It describes the general set‐up of such prediction systems and also gives examples of their performance. Copyright © 2003 John Wiley & Sons, Ltd.
Lars Landberg   +4 more
openaire   +1 more source

Improving the Short-Term Prediction of Suicidal Behavior [PDF]

open access: yesAmerican Journal of Preventive Medicine, 2014
Aspirational Goal 3 of the National Action Alliance for Suicide Prevention's Research Prioritization Task Force is to predict who is at risk for attempting suicide in the near future. Despite decades of research devoted to the study of risk and protective factors for suicide and suicidal behavior, surprisingly little is known about the short-term ...
Glenn, Catherine R., Nock, Matthew
openaire   +4 more sources

Short-term Traffic Flow Prediction Based on Deep Learning Model [PDF]

open access: yes, 2021
In order to improve the prediction accuracy of the intelligent transportation system and provide effective support for the dynamic control and guidance of the highway management department, with the goal of minimizing the short-term traffic flow ...
Nv Er Ren   +7 more
core   +1 more source

Empirical Prediction of Short‐Term Annual Global Temperature Variability

open access: yesEarth and Space Science, 2020
Global mean surface air temperature (Tglobal) variability on subdecadal timescales can be of substantial magnitude relative to the long‐term global warming signal, and such variability has been associated with considerable environmental and societal ...
Patrick T. Brown, Ken Caldeira
doaj   +1 more source

Models for short term malaria prediction in Sri Lanka

open access: yesMalaria Journal, 2008
Background Malaria in Sri Lanka is unstable and fluctuates in intensity both spatially and temporally. Although the case counts are dwindling at present, given the past history of resurgence of outbreaks despite effective control measures, the control ...
Galappaththy Gawrie NL   +4 more
doaj   +1 more source

Accurate electricity consumption prediction using enhanced long short‐term memory

open access: yesIET Communications, 2022
In the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of ...
Ragupathi Chinnaraji, Prakash Ragupathy
doaj   +1 more source

Modeling and Predicting the Short‐Term Evolution of the Geomagnetic Field [PDF]

open access: yesJournal of Geophysical Research: Solid Earth, 2018
AbstractWe propose a reduced dynamical system describing the coupled evolution of fluid flow and magnetic field at the top of the Earth's core between the years 1900 and 2014. The flow evolution is modeled with a first‐order autoregressive process, while the magnetic field obeys the classical frozen flux equation.
Bärenzung, Julien   +4 more
openaire   +6 more sources

Bidding wind energy under uncertainty [PDF]

open access: yes, 2007
The integration of wind energy into electricity markets implies that the wind energy must commit their production for a given time period. This requires the use of short term wind power prediction tools to prepare the bids for the spot market.
Angarita Márquez, Jorge Luis   +5 more
core   +1 more source

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