Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research …
Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …
applications, there remains a need to develop more reliable and intelligent expert systems …
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems
L Cheng, T Yu - International Journal of Energy Research, 2019 - Wiley Online Library
The new generation of artificial intelligence (AI), called AI 2.0, has recently become a
research focus. Data‐driven AI 2.0 will accelerate the development of smart energy and …
research focus. Data‐driven AI 2.0 will accelerate the development of smart energy and …
Employing machine learning algorithms for streamflow prediction: a case study of four river basins with different climatic zones in the United States
Streamflow estimation plays a significant role in water resources management, especially for
flood mitigation, drought warning, and reservoir operation. Hence, the current study …
flood mitigation, drought warning, and reservoir operation. Hence, the current study …
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
RC Deo, X Wen, F Qi - Applied Energy, 2016 - Elsevier
A solar radiation forecasting model can be utilized is a scientific contrivance for investigating
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
Monthly stream-flow forecasting can yield important information for hydrological applications
including sustainable design of rural and urban water management systems, optimization of …
including sustainable design of rural and urban water management systems, optimization of …
Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
Data-intelligent algorithms designed for forecasting significant height of coastal waves over
the relatively short time period in coastal zones can generate crucial information about …
the relatively short time period in coastal zones can generate crucial information about …
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
RC Deo, M Şahin - Atmospheric Research, 2015 - Elsevier
The prediction of future drought is an effective mitigation tool for assessing adverse
consequences of drought events on vital water resources, agriculture, ecosystems and …
consequences of drought events on vital water resources, agriculture, ecosystems and …
Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological …
RC Deo, M Şahin - Atmospheric research, 2015 - Elsevier
The forecasting of drought based on cumulative influence of rainfall, temperature and
evaporation is greatly beneficial for mitigating adverse consequences on water-sensitive …
evaporation is greatly beneficial for mitigating adverse consequences on water-sensitive …