Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants

SF Stefenon, LO Seman, LS Aquino… - Energy, 2023 - Elsevier
Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …

Impacts of LULC and climate changes on hydropower generation and development: A systematic review

EK Ahialey, AT Kabo–Bah, S Gyamfi - Heliyon, 2023 - cell.com
There is a growing concern on a global scale that the world should transition towards the
utilisation of energy-efficient technologies. Hydropower plays a very significant part in the …

Application of machine learning models in assessing the hydrological changes under climate change in the transboundary 3S River Basin

Q Nguyen, S Shrestha, S Ghimire… - Journal of Water and …, 2023 - iwaponline.com
This paper aims to evaluate two machine learning (ML) algorithms, namely, convolutional
neural network (CNN) and long short-term memories (LSTM) deep learning algorithms, to …

[HTML][HTML] Techno-economic feasibility of hybrid hydro-FPV systems in Sub-Saharan Africa under different market conditions

V Olkkonen, K Haaskjold, ØS Klyve, R Skartlien - Renewable Energy, 2023 - Elsevier
Floating photovoltaic (FPV) systems are an emerging and increasingly competitive
application of solar PV, especially in land area-constrained countries. This study focuses on …

Quantification and allocation of uncertainties of climate change impacts on hydropower potential under 1.5° C and 2.0° C global warming levels in the headwaters of …

RM Nonki, E Amoussou, CJ Lennard, A Lenouo… - Renewable Energy, 2023 - Elsevier
Hydropower is the world's largest producer of renewable energy and represents more than
43% of the low-carbon energy. However, it is sensitive to climate variability and change. This …

Towards a sustainable energy future: Modeling Morocco's transition to renewable power with enhanced OSeMOSYS model

J Slimani, A Kadrani, I El Harraki, E Ezzahid - Energy Conversion and …, 2024 - Elsevier
Developing countries encounter numerous challenges, such as limited access to reliable
electricity and a heavy reliance on imported fossil fuels. To satisfy the rising energy demand …

Insights from a Comprehensive Capacity Expansion Planning Modeling on the Operation and Value of Hydropower Plants under High Renewable Penetrations

ES Chatzistylianos, GN Psarros, SA Papathanassiou - Energies, 2024 - mdpi.com
This paper presents a quantitative assessment of the value of hydroelectric power plants
(HPPs) in power systems with a significant penetration of variable renewable energy …

Quantification of run-of-river hydropower potential in the Upper Indus basin under climate change

S Dhaubanjar, AF Lutz, WJ Smolenaars, S Khanal… - Frontiers in …, 2023 - frontiersin.org
Introduction Despite ambitious plans to quadruple hydropower generation in the Indus
basin, a quantitative assessment of the impact of climate change on hydropower availability …

Analyzing and forecasting climate variability in Nainital district, India using non-parametric methods and ensemble machine learning algorithms

Y Sharma, H Sajjad, TK Saha, N Bhuyan… - Theoretical and Applied …, 2024 - Springer
The mountainous areas are vulnerable to climate change and may have many socio-
economic and environmental implications. The changing pattern of meteorological variables …

Predicting climate-driven changes in reservoir inflows and hydropower in Côte d'Ivoire using machine learning modeling

S Obahoundje, A Diedhiou, K Akpoti, KL Kouassi… - Energy, 2024 - Elsevier
This study investigates the impact of climate change and variability on reservoir inflow and
hydropower generation at three key hydropower plants in Côte d'Ivoire including Buyo …