A review of solar and wind energy resource projection based on the Earth system model

G Chen, Z Ji - Sustainability, 2024 - mdpi.com
Many countries around the world are rapidly advancing sustainable development (SD)
through the exploitation of clean energy sources such as solar and wind energy, which are …

Forecasting of compound ocean-fluvial floods using machine learning

S Moradian, A AghaKouchak, S Gharbia… - Journal of …, 2024 - Elsevier
Flood modelling and forecasting can enhance our understanding of flood mechanisms and
facilitate effective management of flood risk. Conventional flood hazard and risk …

[HTML][HTML] Combined statistical and hydrodynamic modelling of compound flooding in coastal areas-Methodology and application

AI Olbert, S Moradian, S Nash, J Comer… - Journal of …, 2023 - Elsevier
This paper presents a robust cost-effective framework for assessment of coastal-fluvial
flooding due to compound action of multivariate dependent drivers. The methodology is an 8 …

Hybrid wind-solar energy resources map** in the European Atlantic

A Martinez, G Iglesias - Science of The Total Environment, 2024 - Elsevier
The complementarity of offshore wind and solar resources can enhance the energy output of
a hybrid farm and reduce its variability relative to a stand-alone, conventional offshore wind …

[HTML][HTML] A copula post-processing method for wind power projections under climate change

S Moradian, S Gharbia, G Iglesias, AI Olbert - Energy Conversion and …, 2024 - Elsevier
Wind energy plays a pivotal role in the ongoing effort to reduce carbon emissions in the
energy sector. With the increasing evidence of climate change, there is a growing concern …

[HTML][HTML] Assessing the impacts of climate change on precipitation through a hybrid method of machine learning and discrete wavelet transform techniques, case study …

S Moradian, G Iglesias, C Broderick, IA Olbert - Journal of Hydrology …, 2023 - Elsevier
Abstract Study region Cork City, Ireland. Study focus Reconstruction of precipitation
timeseries is gaining increasing attention for monitoring and prediction studies. To address …

[HTML][HTML] Machine learning and statistical approaches for wind speed estimation at partially sampled and unsampled locations; review and open questions

F Houndekindo, TBMJ Ouarda - Energy Conversion and Management, 2025 - Elsevier
Wind resource assessment (WRA) depends on the availability of accurate, long-term wind
speed data. In locations where such data is limited (partially sampled locations, PSL) or …

How to choose the most proper representative climate model over a study region? A case study of precipitation simulations in Ireland with NEX-GDDP-CMIP6 data

S Moradian, L Coleman, B Kazmierczak… - Water Resources …, 2024 - Springer
With the aim of providing a multi-criteria decision-support system to capture the spatio-
temporal climatological patterns derived from climate models and identify the best …

[HTML][HTML] Enhancing the accuracy of wind power projections under climate change using geospatial machine learning models

S Moradian, S Gharbia, MM Nezhad, AI Olbert - Energy Reports, 2024 - Elsevier
This paper presents a geospatial artificial intelligence (GeoAI) approach for generating wind
power projection maps employing various Machine Learning (ML) models. These models …

Supply-demand security assessment of water-energy-food systems: A perspective on intra-city coupling and inter-city linkages of ecosystem services

W Yang, J Chen, T Ding, X Yan, W Gong - Sustainable Cities and Society, 2024 - Elsevier
Ensuring the supply-demand security of water-energy-food systems (WEF) is paramount in
sustainable cities. Leveraging ecosystem services (ESs) as a bridge between WEF supply …