Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network

Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network

The forecasting of hydrological flows (rainfall depth or rainfall discharge) is becoming increasingly important in the management of hydrological risks such as floods. In this study, the Long Short-Term Memory (LSTM) network, a state-of-the-art algorithm dedicated to time series, is applied to predi...

Full description

Saved in:

Bibliographic Details
Main Authors:	Namwinwelbere Dabire, Eugene C. Ezin, Adandedji M. Firmin
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Hydrology
Subjects:	forecasting machine learning algorithms recurrent artificial neural network Lake Nokoué
Online Access:	https://www.mdpi.com/2306-5338/11/10/161
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proposed Long Short-Term Memory Model Utilizing Multiple Strands for Enhanced Forecasting and Classification of Sensory Measurements
by: Sotirios Kontogiannis, et al.
Published: (2025-04-01)

Assessing the Potential for Medium‐Range Ice Forecasts in the Laurentian Great Lakes
by: A. J. Yeo, et al.
Published: (2024-09-01)

Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks
by: Waqar Waheed, et al.
Published: (2024-12-01)

Short-Term Load Forecasting Based on Pelican Optimization Algorithm and Dropout Long Short-Term Memories–Fully Convolutional Neural Network Optimization
by: Haonan Wang, et al.
Published: (2024-12-01)

Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
by: Zachary Barbre, et al.
Published: (2025-04-01)

Modelling Itasy Lake Water Quality by Long Short Term Memory (LSTM) using Landsat8 Data
by: Randrianiaina Jerry Jean Christien Frederick, et al.
Published: (2025-05-01)

Near‐term lake water temperature forecasts can be used to anticipate the ecological dynamics of freshwater species
by: Ricardo Paíz, et al.
Published: (2025-07-01)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
by: Somasundaram Vasudevan, et al.
Published: (2024-12-01)

Improving long short-term memory (LSTM) networks for arbitrage spread forecasting: integrating cuckoo and zebra algorithms in chaotic mapping space for enhanced accuracy
by: Mingfu Zhu, et al.
Published: (2024-12-01)

Hybrid Long Short-Term Memory Wavelet Transform Models for Short-Term Electricity Load Forecasting
by: Agbassou Guenoukpati, et al.
Published: (2024-09-01)

Short‐Term Arsenic Cycling in a Shallow, Polymictic Lake
by: Samantha R. Fung, et al.
Published: (2024-03-01)

Long Short-Term Memory as a Rainfall Forecasting Model for Bogor City in 2025-2026
by: Nur Anggraini Fadhilah, et al.
Published: (2025-03-01)

Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory
by: Huilong Wang, et al.
Published: (2025-05-01)

Forecasting Alisadr Cave Tourism Demand using Combination of Short-term and Long-term Forecasts
by: Elaheh Malekzadeh Hamedani, et al.
Published: (2022-07-01)

An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
by: Yingying He, et al.
Published: (2024-09-01)

BiGRU-CNN neural network applied to short-term electric load forecasting
by: Lucas Duarte Soares, et al.
Published: (2021-12-01)

Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices
by: Xin Huang, et al.
Published: (2025-02-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

New Forecasting Metrics Evaluated in Prophet, Random Forest, and Long Short-Term Memory Models for Load Forecasting
by: Prajowal Manandhar, et al.
Published: (2024-12-01)

Forecasting Stock Returns Using Long Short-Term Memory (LSTM) Model Based on Inflation Data and Historical Stock Price Movements
by: Nur Faid Prasetyo, et al.
Published: (2025-05-01)

Assessment of the resilience and long-term effects of climate change on the surface area of Lake Yojoa
by: Alexander David Reyes-Avila, et al.
Published: (2024-12-01)

Remotely sensed water color and eutrophication in a downstream lake: Long-term dynamic and driving factors in Hong Lake, China
by: Xueer Geng, et al.
Published: (2025-08-01)

Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM)
by: O. F. Mashoshin, et al.
Published: (2024-12-01)

Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan
by: Daiki Koge, et al.
Published: (2025-08-01)

Transformers and Long Short-Term Memory Transfer Learning for GenIV Reactor Temperature Time Series Forecasting
by: Stella Pantopoulou, et al.
Published: (2025-04-01)

COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS
by: Aleytha Ilahnugrah Kurnadipare, et al.
Published: (2025-01-01)

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
by: Mohd Herwan Sulaiman, et al.
Published: (2025-07-01)

Design and Implementation of a Deep Learning Model and Stochastic Model for the Forecasting of the Monthly Lake Water Level
by: Waleed Ahmed Hassen Al-Nuaami, et al.
Published: (2024-07-01)

Modeling of the flow time series for a short-term hydrological forecast
by: Tomasz Jarosław Siuta
Published: (2020-11-01)

Short-Term Load Forecasting of Power System Based on VMD-CNN-BIGRU
by: Huping YANG, et al.
Published: (2022-10-01)

Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Network–Bidirectional Long Short-Term Memory Model
by: Han Qiu, et al.
Published: (2025-02-01)

Hybrid Techniques for Short Term Load Forecasting
by: Saroj Panda, et al.
Published: (2023-03-01)

Energy Services Demand Forecasting Combined with Feature Preferences and Bidirectional Long- and Short-Term Memory Networks
by: KANG Feng, TAN Huochao, SU Liwei, JIAN Donglin, WANG Shuai, QIN Hao, ZHANG Yongjun
Published: (2025-07-01)

Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm
by: Haihong FAN
Published: (2021-03-01)

Nickel in the waters of Lake Teletskoye tributaries (the results of long-term studies)
by: S. V. Baboshkina, et al.
Published: (2024-12-01)

Photovoltaic Power Forecasting Based on Variational Mode Decomposition and Long Short-Term Memory Neural Network
by: Zhijian Hou, et al.
Published: (2025-07-01)

Ten‐Year Hindcast Assessment of an Improved Probabilistic Forecast System for Cyanotoxin (Microcystins) Risk Level in Lake Erie
by: Qianqian Liu, et al.
Published: (2025-04-01)

Improving daily reference evapotranspiration forecasts: Designing AI-enabled recurrent neural networks based long short-term memory
by: Mumtaz Ali, et al.
Published: (2025-03-01)

Long Short-Term Memory Approach for Coronavirus Disease Predicti
by: Omar Ibrahim Obaid, et al.
Published: (2020-12-01)

Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms
by: Gökhan Ekinci, et al.
Published: (2025-02-01)