Results 11 to 20 of about 24,980,479 (255)
A neural network and rule based system application in water demand forecasting [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.This thesis describes a short term water demand forecasting application that is based upon a combination of a neural network forecast generator and a ...
Hartley, Joseph Alan
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A Hybrid ENSO Prediction System Based on the FIO−CPS and XGBoost Algorithm
Accurate prediction of the El Niño–Southern Oscillation (ENSO) is crucial for climate change research and disaster prevention and mitigation. In recent decades, the prediction skill for ENSO has improved significantly; however, accurate forecasting at a ...
Zhiyuan Kuang +6 more
doaj +1 more source
Short-term wind prediction using an ensemble of particle swarm optimised FIR filters [PDF]
Due to the large and increasing penetration of wind power around the world, accurate power production forecasts are required to manage power systems and wind power plants.
Dowell, Jethro +5 more
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Long-time-series climate prediction is of great significance for mitigating disasters; promoting ecological civilization; identifying climate change patterns and preventing floods, drought and typhoons.
Zeyu Zhou +4 more
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Deep Learning of Systematic Sea Ice Model Errors From Data Assimilation Increments
Data assimilation is often viewed as a framework for correcting short‐term error growth in dynamical climate model forecasts. When viewed on the time scales of climate however, these short‐term corrections, or analysis increments, can closely mirror the ...
William Gregory +4 more
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Deep learning models for forecasting dengue fever based on climate data in Vietnam.
BackgroundDengue fever (DF) represents a significant health burden in Vietnam, which is forecast to worsen under climate change. The development of an early-warning system for DF has been selected as a prioritised health adaptation measure to climate ...
Van-Hau Nguyen +18 more
doaj +1 more source
Using EC-Earth for climate prediction research [PDF]
Climate prediction at the subseasonal to interannual time range is now performed routinely and operationally by an increasing number of institutions.
Acosta, M. +34 more
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Can we tackle climate change by behavioral hacking of the dopaminergic system?
Climate change is an undeniable fact that will certainly affect millions of people in the following decades. Despite this danger threatening our economies, wellbeing and our lives in general, there is a lack of immediate response at both the ...
Jérôme Munuera +2 more
doaj +1 more source
To increase our capability to predict Arctic sea ice and climate, we have developed a coupled atmosphere‐sea ice‐ocean model configured for the pan‐Arctic with sufficient flexibility.
Chao‐Yuan Yang, Jiping Liu, Shiming Xu
doaj +1 more source
Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach
The occurrence of flash floods in urban catchments within the Mediterranean climate zone has witnessed a substantial rise due to climate change, underscoring the urgent need for early-warning systems.
Eleni-Ioanna Koutsovili +3 more
doaj +1 more source

