A review of deep learning and machine learning techniques for hydrological inflow forecasting
SD Latif, AN Ahmed - Environment, Development and Sustainability, 2023 - Springer
Conventional machine learning models have been widely used for reservoir inflow and
rainfall prediction. Nowadays, researchers focus on a new computing architecture in the …
rainfall prediction. Nowadays, researchers focus on a new computing architecture in the …
Forecast of rainfall distribution based on fixed sliding window long short-term memory
Applying data mining techniques for rainfall modeling because of a lack of sufficient memory
components may increase uncertainty in rainfall forecasting. To solve this issue, in this …
components may increase uncertainty in rainfall forecasting. To solve this issue, in this …
Designing a multi-stage expert system for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Accurate forecasting of the wave energy is crucial and has significant potential because
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …
every wave meter possesses an energy amount ranging from 30 to 40 kW along the shore …
[HTML][HTML] Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network
Floods are one of the most catastrophic natural disasters. Water level forecasting is an
essential method of avoiding floods and disaster preparedness. In recent years, models for …
essential method of avoiding floods and disaster preparedness. In recent years, models for …
[HTML][HTML] Integrating digital twins and artificial intelligence multi-modal transformers into water resource management: overview and advanced predictive framework
Various Artificial Intelligence (AI) techniques in water resource management highlight the
current methodologies' strengths and limitations in forecasting, optimization, and control. We …
current methodologies' strengths and limitations in forecasting, optimization, and control. We …
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN
Prediction of rivers and lakes water temperature plays an important role in hydrology,
ecology, and water resources planning and management. Recently, machines learning …
ecology, and water resources planning and management. Recently, machines learning …
Assessment power generation potential of small hydropower plants using GIS software
Y Tian, F Zhang, Z Yuan, Z Che, N Zafetti - Energy Reports, 2020 - econstor.eu
The hydropower stations are one of the most significant sources of renewable energy. In this
research, the identification of suitable locations for hydroelectric power stations installation …
research, the identification of suitable locations for hydroelectric power stations installation …
[HTML][HTML] Assessment of mini and micro hydropower potential in Egypt: Multi-criteria analysis
There is a common misconception that at least 95% of Egypt's potential hydropower has
already been used, which does not reflect reality. Currently, only five hydropower plants …
already been used, which does not reflect reality. Currently, only five hydropower plants …
Prediction of the dynamic pressure distribution in hydraulic structures using soft computing methods
Prediction of dynamic pressure distribution (P^* P∗) is a subject of great importance in the
design and operation of the hydraulic structures. Flip buckets, using as hydraulic structures …
design and operation of the hydraulic structures. Flip buckets, using as hydraulic structures …
Application of soft computing to predict water quality in wetland
Prediction of water quality is a critical issue because of its significant impact on human and
ecosystem health. This research aims to predict water quality index (WQI) for the free surface …
ecosystem health. This research aims to predict water quality index (WQI) for the free surface …