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

и другие.

Energy Reports, Год журнала: 2024, Номер 11, С. 4676 - 4687

Опубликована: Апрель 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.

Язык: Английский

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

Sheng-Xiang Lv,

Lin Wang

Energy, Год журнала: 2022, Номер 263, С. 126100 - 126100

Опубликована: Ноя. 14, 2022

Язык: Английский

Процитировано

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

и другие.

Energy, Год журнала: 2023, Номер 283, С. 129005 - 129005

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

44

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

и другие.

Applied Energy, Год журнала: 2024, Номер 360, С. 122759 - 122759

Опубликована: Фев. 6, 2024

Язык: Английский

Процитировано

28

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

Qibo Zhou,

Li Sun

и другие.

Ocean Engineering, Год журнала: 2024, Номер 301, С. 117598 - 117598

Опубликована: Март 23, 2024

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер 307, С. 118343 - 118343

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

23

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

и другие.

Energy, Год журнала: 2024, Номер 294, С. 130782 - 130782

Опубликована: Фев. 27, 2024

Язык: Английский

Процитировано

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

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 307, С. 118341 - 118341

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

18

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

и другие.

Energy Conversion and Management, Год журнала: 2022, Номер 269, С. 116146 - 116146

Опубликована: Сен. 2, 2022

Язык: Английский

Процитировано

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

и другие.

Energy Conversion and Management, Год журнала: 2022, Номер 269, С. 116138 - 116138

Опубликована: Сен. 1, 2022

Язык: Английский

Процитировано

40

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

Keerthi NagaSree Pujari,

Srinivas Soumitri Miriyala,

Prateek Mittal

и другие.

Expert Systems with Applications, Год журнала: 2022, Номер 214, С. 119063 - 119063

Опубликована: Окт. 22, 2022

Язык: Английский

Процитировано

40