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Hydropower operation optimization using machine learning: A systematic review
The optimal dispatch of hydropower plants consists of the challenge of taking advantage of
both available head and river flows. Despite the objective of delivering the maximum power …
both available head and river flows. Despite the objective of delivering the maximum power …
[HTML][HTML] Flood prediction with time series data mining: Systematic review
The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …
various actions, including earth surveying. For example, flood-prone areas must be …
Forecasting oil production using ensemble empirical model decomposition based Long Short-Term Memory neural network
W Liu, WD Liu, J Gu - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Oil production forecasting is an important means of understanding and effectively
develo** reservoirs. Reservoir numerical simulation is the most mature and effective …
develo** reservoirs. Reservoir numerical simulation is the most mature and effective …
A hybrid VMD-SVM model for practical streamflow prediction using an innovative input selection framework
E Meng, S Huang, Q Huang, W Fang, H Wang… - Water Resources …, 2021 - Springer
Some previous studies have proved that prediction models using traditional overall
decomposition sampling (ODS) strategy are unreasonable because the subseries obtained …
decomposition sampling (ODS) strategy are unreasonable because the subseries obtained …
[HTML][HTML] Variability in runoff and responses to land and oceanic parameters in the source region of the Indus River
Understanding the coherent variability of runoff in the Source Region of the Indus River
(SRIR) with the regional environmental parameters (precipitation, temperature, potential …
(SRIR) with the regional environmental parameters (precipitation, temperature, potential …
Digital transformation of energy companies: A colombian case study
The United Nations established 17 Sustainable Development Goals (SDGs), and the
fulfillment of the 7th, defined as “Ensure access to affordable, reliable, sustainable, and …
fulfillment of the 7th, defined as “Ensure access to affordable, reliable, sustainable, and …
Drought management planning policy: from Europe to Spain
C Hervás-Gámez, F Delgado-Ramos - Sustainability, 2019 - mdpi.com
Climate change is anticipated to exacerbate the frequency, the intensity, and the duration of
droughts, especially in Mediterranean countries. This might lead to more serious water …
droughts, especially in Mediterranean countries. This might lead to more serious water …
A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, Gini …
Accurate and reliable streamflow forecasting is indispensable to deal with the dynamics of
streamflow parameters and for optimal use of water resources, flood, and drought control. In …
streamflow parameters and for optimal use of water resources, flood, and drought control. In …
Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario …
This paper presents a novel approach for enhancing long-term runoff simulations through
the integration of empirical mode decomposition (EMD) with four machine learning (ML) …
the integration of empirical mode decomposition (EMD) with four machine learning (ML) …
A CMIP6 multi-model based analysis of potential climate change effects on watershed runoff using SWAT model: A case study of kunhar river basin, Pakistan
The hydrological regimes of watersheds might be drastically altered by climate change, a
majority of Pakistan's watersheds are experiencing problems with water quality and quantity …
majority of Pakistan's watersheds are experiencing problems with water quality and quantity …