[HTML][HTML] Optimization of the hydropower energy generation using Meta-Heuristic approaches: A review

AS Azad, MSA Rahaman, J Watada, P Vasant… - Energy Reports, 2020 - Elsevier
Whatever the exact figures, world energy consumption, particularly electricity consumption,
can increase significantly during couple of decades. It is not possible solely due to …

A comparison of machine learning models for suspended sediment load classification

N AlDahoul, AN Ahmed, MF Allawi… - Engineering …, 2022 - Taylor & Francis
The suspended sediment load (SSL) is one of the major hydrological processes affecting the
sustainability of river planning and management. Moreover, sediments have a significant …

[HTML][HTML] Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis

M Ehteram, A Ferdowsi, M Faramarzpour… - Alexandria Engineering …, 2021 - Elsevier
In the present study, an improved adaptive neuro fuzzy inference system (ANFIS) and
multilayer perceptron (MLP) models are hybridized with a sunflower optimization (SO) …

A Comprehensive Review on Applications of Grey Wolf Optimizer in Energy Systems

M Nasir, A Sadollah, S Mirjalili, SA Mansouri… - … Methods in Engineering, 2024 - Springer
In the field of optimization problems, the optimization of energy systems problems is of
significant importance, mainly due to their dramatic role in achieving sustainability. The …

Drought investigation and trend assessment in Macta watershed (Algeria) by SPI and ITA methodology

A Elouissi, B Benzater, I Dabanli, M Habi… - Arabian Journal of …, 2021 - Springer
In this study, severe and extreme episode (dry and wet) periods were analyzed by the
Standardized Precipitation Index (SPI), using 42 weather stations in the Macta watershed …

Forecasting hydropower generation by GFDL‐CM3 climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search …

H Wang, X Wu, F Gholinia - Concurrency and Computation …, 2021 - Wiley Online Library
One of the most sensitive factors affecting hydropower generation is climate change. The
objective of this study is to forecast the hydropower generation under the influence of climate …

Optimal operation of Nashe hydropower reservoir under land use land cover change in Blue Nile River Basin

MK Leta, TA Demissie, J Tränckner - Water, 2022 - mdpi.com
Changes in LULC (land use land cover), which significantly influence the spatial and
temporal distribution of hydrological processes and water resources in general, have a …

Optimal allocation of regional water resources in an arid basin: insights from Integrated Water Resources Management

FB Banadkooki, Y **ao, H Malekinezhad… - AQUA—Water …, 2022 - iwaponline.com
Viewing water management as a multifaceted issue is critical to achieving sustainable water
management. This paper proposes an integrated optimal allocation model for aquifer …

[PDF][PDF] Overview of hydropower resources and development in Uganda.

V Katutsi, M Kaddu, AG Migisha, ME Rubanda… - Aims Energy, 2021 - aimspress.com
Overview of hydropower resources and development in Uganda Page 1 AIMS Energy, 9(6):
1299–1320. DOI: 10.3934/energy.2021060 Received: 12 October 2021 Accepted: 21 December …

[HTML][HTML] Precipitation forecasting using multilayer neural network and support vector machine optimization based on flow regime algorithm taking into account …

FB Banadkooki, M Ehteram, AN Ahmed, CM Fai… - Sustainability, 2019 - mdpi.com
Drought, climate change, and demand make precipitation forecast a very important issue in
water resource management. The present study aims to develop a forecasting model for …