Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

Z Zhao, S Yun, L Jia, J Guo, Y Meng, N He, X Li… - … Applications of Artificial …, 2023 - Elsevier
Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …

Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches

A Aldrees, M Khan, ATB Taha, M Ali - Journal of Water Process …, 2024 - Elsevier
Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …

Modelling impacts of climate change and anthropogenic activities on inflows and sediment loads of wetlands: Case study of the Anzali wetland

M Mahdian, M Hosseinzadeh, SM Siadatmousavi… - Scientific Reports, 2023 - nature.com
Understanding the effects of climate change and anthropogenic activities on the
hydrogeomorpholgical parameters in wetlands ecosystems is vital for designing effective …

[HTML][HTML] Gaussian process emulation of spatio-temporal outputs of a 2D inland flood model

J Donnelly, S Abolfathi, J Pearson, O Chatrabgoun… - Water Research, 2022 - Elsevier
The computational limitations of complex numerical models have led to adoption of
statistical emulators across a variety of problems in science and engineering disciplines to …

The prediction of WWTP influent characteristics: Good practices and challenges

M Andreides, P Dolejš, J Bartáček - Journal of Water Process Engineering, 2022 - Elsevier
The prediction of influent characteristics using state-of-the-art mathematical models can help
optimize wastewater treatment plants (WWTP) processes. However, WWTP operators lack …

[HTML][HTML] Marine waters assessment using improved water quality model incorporating machine learning approaches

MG Uddin, A Rahman, S Nash, MTM Diganta… - Journal of …, 2023 - Elsevier
In marine ecosystems, both living and non-living organisms depend on “good” water quality.
It depends on a number of factors, and one of the most important is the quality of the water …

Evaluation of groundwater quality for irrigation in deep aquifers using multiple graphical and indexing approaches supported with machine learning models and GIS …

MH Eid, M Elbagory, AA Tamma, M Gad, S Elsayed… - Water, 2023 - mdpi.com
Irrigation has made a significant contribution to supporting the population's expanding food
demands, as well as promoting economic growth in irrigated regions. The current …

Enhanced wave overtop** simulation at vertical breakwaters using machine learning algorithms

MA Habib, JJ O'Sullivan, S Abolfathi, M Salauddin - Plos one, 2023 - journals.plos.org
Accurate prediction of wave overtop** at sea defences remains central to the protection of
lives, livelihoods, and infrastructural assets in coastal zones. In addressing the increased …

Environmental risk assessment of wetland ecosystems using Bayesian belief networks

B Malekmohammadi, CB Uvo, NT Moghadam, R Noori… - Hydrology, 2023 - mdpi.com
Wetlands are valuable natural capital and sensitive ecosystems facing significant risks from
anthropogenic and climatic stressors. An assessment of the environmental risk levels for …

Efficient data-driven machine learning models for scour depth predictions at slo** sea defences

MA Habib, S Abolfathi, JJ O'Sullivan… - Frontiers in Built …, 2024 - frontiersin.org
Seawalls are critical defence infrastructures in coastal zones that protect hinterland areas
from storm surges, wave overtop** and soil erosion hazards. Scouring at the toe of sea …