Accelerating the low-carbon transition: Technological advancements and challenges for the sustainable development of energy, water, and environment systems DOI Creative Commons
Giovanni Francesco Giuzio, Cesare Forzano, Giovanni Barone

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 4676 - 4687

Published: April 26, 2024

This editorial explores the contributions of papers collected in virtual special issue Energy Reports dedicated to series Conferences on Sustainable Development Energy, Water and Environment Systems held Paphos (Cyprus), São Paulo (Brazil), Vlorë (Albania) 2022. Within this article collections, 13 accepted address key research topics aligned with focus SDEWES conferences, such as energy, water, environmental systems, thereby fulfilling aim scope Reports. Since 2002, Water, (SDEWES) serve a platform for fostering inter-sectoral collaborations among scientists worldwide individuals keen delving into sustainable development showcase advancements engage discussions regarding current trends, future trajectories development. In 2022, conference brought together approximately about 800 scientists, researchers, experts from more than 55 Countries. Based published 2022 – 5th SEE SDEWES, 3rd LA 17th is organized several sections covering VSI primary that encompass innovative renewable energy technologies, design solutions buildings communities, simulation tools green fuels, based technologies. Detailed latest technological challenges accelerate transitions are here presented.

Language: Английский

Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model DOI

Sheng-Xiang Lv,

Lin Wang

Energy, Journal Year: 2022, Volume and Issue: 263, P. 126100 - 126100

Published: Nov. 14, 2022

Language: Английский

Citations

82

Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach DOI
Yagang Zhang,

Zhiya Pan,

Hui Wang

et al.

Energy, Journal Year: 2023, Volume and Issue: 283, P. 129005 - 129005

Published: Sept. 9, 2023

Language: Английский

Citations

44

A short-term wind power forecasting method based on multivariate signal decomposition and variable selection DOI
Ting Yang, Zhenning Yang, Fei Li

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 360, P. 122759 - 122759

Published: Feb. 6, 2024

Language: Английский

Citations

28

CNN–LSTM–AM: A power prediction model for offshore wind turbines DOI
Yu Sun,

Qibo Zhou,

Li Sun

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 301, P. 117598 - 117598

Published: March 23, 2024

Language: Английский

Citations

28

A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism DOI

Junheng Pang,

Sheng Dong

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118343 - 118343

Published: March 28, 2024

Language: Английский

Citations

23

Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition DOI
Binrong Wu, Sihao Yu, Lu Peng

et al.

Energy, Journal Year: 2024, Volume and Issue: 294, P. 130782 - 130782

Published: Feb. 27, 2024

Language: Английский

Citations

18

Wind power forecasting method of large-scale wind turbine clusters based on DBSCAN clustering and an enhanced hunter-prey optimization algorithm DOI
Guolian Hou, Junjie Wang, Yuzhen Fan

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118341 - 118341

Published: March 28, 2024

Language: Английский

Citations

18

Effective mitigation of climate change with sustainable development of energy, water and environment systems DOI
Şiir Kılkış, Goran Krajačić, Neven Duić

et al.

Energy Conversion and Management, Journal Year: 2022, Volume and Issue: 269, P. 116146 - 116146

Published: Sept. 2, 2022

Language: Английский

Citations

67

Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field DOI

Zhen Shao,

Jun Han, Wei Zhao

et al.

Energy Conversion and Management, Journal Year: 2022, Volume and Issue: 269, P. 116138 - 116138

Published: Sept. 1, 2022

Language: Английский

Citations

40

Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning DOI

Keerthi NagaSree Pujari,

Srinivas Soumitri Miriyala,

Prateek Mittal

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 214, P. 119063 - 119063

Published: Oct. 22, 2022

Language: Английский

Citations

40