[HTML][HTML] Emerging green industry toward net-zero economy: A systematic review

N Nyangchak - Journal of Cleaner Production, 2022 - Elsevier
Given the urgency of achieving net-zero emissions for climate stabilization, a deeper holistic
knowledge of the key factors driving green industry, an emerging industrial strategy to build …

[HTML][HTML] Possible bottlenecks in clean energy transitions: overview and modelled effects–case Finland

J Hyvönen, T Koivunen, S Syri - Journal of Cleaner Production, 2023 - Elsevier
Limiting the negative effects of human-induced global warming is the focus of climate policy
worldwide. In the European Union (EU), the target for reaching carbon neutrality is set to …

A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD

J Li, Z Song, X Wang, Y Wang, Y Jia - Energy, 2022 - Elsevier
Accurate typhoon wind speed prediction is significant because it enables wind farms to take
advantage of high wind speeds and to simultaneously protect wind turbines from damage …

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis

C Cakiroglu, S Demir, MH Ozdemir, BL Aylak… - Expert Systems with …, 2024 - Elsevier
Wind energy increasingly attracts investment from many countries as a clean and renewable
energy source. Since wind energy investment cost is high, the efficiency of a potential wind …

[HTML][HTML] Pathways to low carbon energy transition through multi criteria assessment of offshore wind energy barriers

K Govindan - Technological Forecasting and Social Change, 2023 - Elsevier
A decrease in energy resources has motivated nations around the world to shift their focus to
low carbon energy transition through renewable sources of energy. Offshore wind farms …

[PDF][PDF] Optimizing the energy mix: Strategies for reducing energy dependence

AH Ikevuje, JM Kwakye, DE Ekechukwu… - … Research Journal of …, 2024 - researchgate.net
The growing need for energy security, sustainability, and reduced reliance on fossil fuels
has led to a global emphasis on optimizing the energy mix. This paper comprehensively …

Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting

Z Gao, Z Li, L Xu, J Yu - Applied Soft Computing, 2023 - Elsevier
Multi-node offshore wind speed forecasting is a challenging task due to the complex
dynamic spatial dependencies and highly nonlinear temporal dynamics present in the …

[PDF][PDF] Leveraging regional resources to address regional energy challenges in the transition to a low-carbon future

AE Esiri, JM Kwakye, DE Ekechukwu… - … Research Journal of …, 2024 - researchgate.net
The transition to a low-carbon future is crucial in addressing global energy challenges and
mitigating the impacts of climate change. This review paper explores the role of regional …

Catalytic pyrolysis of toluene as biomass tar model component using Ni/HZSM-5 modified by CeO2 and MgO promoters

X Li, P Liu, W Chen, Y Wu, T Lei, S Huang, Y Li… - Journal of Analytical and …, 2022 - Elsevier
Thermochemical conversion technology is a promising chemical method for removal of
biomass tar. In this study, Ni/HZSM-5 catalyst modified by CeO 2 and MgO promoters were …

Industry 4.0 driven green supply chain management in renewable energy sector: a critical systematic literature review

MJ Labaran, T Masood - Energies, 2023 - mdpi.com
This paper is aimed at systematically reviewing the literature on the interface of Green
Supply Chain Management (GSCM), Industry 4.0 and renewable energy. The aims of this …