Revealing the Dynamic Influence of Clean Energy Consumption on Economic Sustainability in Pakistan: A Pathway to Sustainable Development DOI Creative Commons
Muhammad Ali, Xiaoying Liu, Anwar Khan

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 13, 2024

Abstract Ensuring economic sustainability becomes a crucial consideration when examining the dynamic consequences of both clean and dirty energy consumption. This study seeks to analyze influence consumption, labor force, technological innovation, capital formation on Pakistan's viability spanning from 1975 2022. To achieve this, we investigated these relationships utilizing ARDL simulation model. The findings indicate that consumption positively affects in short long term. On other hand, Dirty use has short-term benefits, it long-term detrimental impacts economy. Although availability negative impact sustainability, eventually loses significance. Economic is continuously enhanced by gross formation. enhance policymakers should prioritize promotion because constantly favorable effect over reduce drawbacks, gradual switch essential. Over time, development change, it's critical promote aforementioned actions are intended build robust sustainable future strengthen sustainability.

Language: Английский

Multi-time scale scheduling optimization of integrated energy systems considering seasonal hydrogen utilization and multiple demand responses DOI
Zhewei Wang,

Banghua Du,

Yang Li

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 67, P. 728 - 749

Published: April 24, 2024

Language: Английский

Citations

16
Finite-Time control scheme for effective voltage and frequency regulation in networked microgrids DOI
Nima Khosravi

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 165, P. 110481 - 110481

Published: Jan. 22, 2025

Language: Английский

Citations

3
Minute-level ultra-short-term power load forecasting based on time series data features DOI Creative Commons
Chuang Wang,

Haishen Zhao,

Yang Liu

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 372, P. 123801 - 123801

Published: July 3, 2024

Electricity is fundamental to the development of national economies and societies, reliant on accurate power load forecasting for its stable supply. Ultra-short-term analyzes historical data predict changes within next hour. This crucial achieving efficient dispatching, improving emergency management, ensuring operation system. However, with increasingly widespread application renewable energy, inherent intermittency exacerbates complexity randomness loads, posing a challenge models accurately capture features. In addressing this challenge, study presents novel method feature extraction from time series data, aimed at enhancing accuracy forecasting. By analyzing trend, periodicities, randomness, it simplifies complex into several features, significantly reducing noise-induced errors identification understanding Moreover, applies five prevalent deep learning models. Experimental results show that using reduces mean absolute percentage error by an average 54.6905%, 42.6654%, 51.3868% datasets three different substations in China. These not only affirm method's efficacy but also provide new technical foundations reliable functioning future systems.

Language: Английский

Citations

8
Sodium ion intercalated NH4V4O10 with adjustable interlayer-spacing as an advanced cathode for aqueous zinc ion battery DOI

Ying Sha,

Jian‐Shu Wang, Zhihao Sun

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 114, P. 115825 - 115825

Published: Feb. 15, 2025

Language: Английский

Citations

1
How to choose mobile energy storage or fixed energy storage in high proportion renewable energy scenarios: Evidence in China DOI
Jie Yan, Shan Liu, Yamin Yan

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 376, P. 124274 - 124274

Published: Aug. 27, 2024

Language: Английский

Citations

5
Distributionally Robust Chance Constrained Optimization Method for Risk-Based Routing and Scheduling of Shared Mobile Energy Storage System With Variable Renewable Energy DOI

Zhuoxin Lu,

Xiaoyuan Xu, Zheng Yan

et al.

IEEE Transactions on Sustainable Energy, Journal Year: 2024, Volume and Issue: 15(4), P. 2594 - 2608

Published: July 16, 2024

Language: Английский

Citations

4
Two-stage day-ahead and intraday low-carbon dispatch method based on enhancing the peak-load regulation capability of cogeneration units with a novel multi-stage Tesla valve thermal storage device DOI
Yibo Wang, Ze Lin, Bowen Wang

et al.

Energy, Journal Year: 2025, Volume and Issue: 316, P. 134467 - 134467

Published: Jan. 9, 2025

Language: Английский

Citations

0
Economic effects analysis model of electro-hydrogen coupling system under Energy Internet in China DOI
Jicheng Liu, Chaoran Lu, Xuying Ma

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134828 - 134828

Published: Feb. 1, 2025

Language: Английский

Citations

0
Routing and scheduling of mobile energy storage systems in active distribution network based on probabilistic voltage sensitivity analysis and Hall's theorem DOI
Ting Wu,

Heng Zhuang,

Qisheng Huang

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 386, P. 125535 - 125535

Published: Feb. 26, 2025

Language: Английский

Citations

0
A review of grid-connected hybrid energy storage systems: Sizing configurations, control strategies, and future directions DOI Creative Commons

Ziyu Fang,

Jonathan Shek, Wei Sun

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 118, P. 116226 - 116226

Published: March 17, 2025

Language: Английский

Citations

0