Determinants of Non-Hydro Renewable Energy Consumption in China’s Provincial Regions DOI Creative Commons
Yuanbo Hu, Weilun Huang,

Aibi Dai

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 3993 - 3993

Published: Aug. 12, 2024

This study investigates the determinants of non-hydro renewable energy (NHRE) consumption across 31 provincial regions in China, spanning from 2015 to 2022. Utilizing fixed effects and moderating effects, research analyzes impacts development intensity (RDI), urbanization (UR), human capital (HC) on NHRE (NHREC). Additionally, roles industrial structure (IS) tax (TA) are examined, along with control variables such as informationization economic development. The findings reveal that increased RDI significantly boosts NHREC by enhancing technological advancements. UR also positively affects NHREC, particularly rapidly urbanizing regions, while HC provides a skilled workforce drives projects. However, identifies concentrated structures high taxes can negatively moderate these positive impacts, highlighting complex interplay factors. Policy recommendations include creating “Renewable Energy Innovation Hubs” underdeveloped attract startups researchers, developing “Solar Cities” mandated solar panels all buildings, introducing “Carbon Offset Lottery” incentivize investments energy.

Language: Английский

Photovoltaic plant site selection considering dust soiling effects: A novel hybrid framework based on uncertainty and reliability with optimum cleaning schedule DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Applied Energy, Journal Year: 2025, Volume and Issue: 382, P. 125252 - 125252

Published: Jan. 5, 2025

Language: Английский

Citations

1
Combining dust scaling behaviors of PV panels and water cleaning methods DOI

Jiacheng Qi,

Qichang Dong,

Ye Song

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 212, P. 115394 - 115394

Published: Jan. 24, 2025

Language: Английский

Citations

0
Desert dust and photovoltaic energy forecasts: Lessons from 46 Saharan dust events in Hungary (Central Europe) DOI Creative Commons
György Varga, Fruzsina Gresina, András Gelencsér

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 212, P. 115446 - 115446

Published: Jan. 30, 2025

Language: Английский

Citations

0
Saharan Dust Contributions to PM10 Levels in Hungary DOI Open Access
Anita Tóth, Zita Ferenczi

Air, Journal Year: 2024, Volume and Issue: 2(3), P. 325 - 336

Published: Sept. 5, 2024

There are meteorological situations when huge amounts of Saharan dust transported from Africa to Europe. These natural events may have a significant impact on particulate matter concentrations at monitoring sites. This phenomenon affects mainly the countries in Southern Europe; however, some strong advections can bring higher latitudes too. The number Carpathian Basin is believed increase due changing patterns atmospheric circulation over Northern Hemisphere’s mid-latitudes. jet stream becomes more meandering if temperature difference between Arctic areas and lower decreases. favours northward transport North African dust. European regulation makes it possible subtract concentration Saharan-originated aerosol measured PM10 concentration. manuscript describes methodology used by HungaroMet calculate amount contributing concentrations.

Language: Английский

Citations

1
Ultra-short-term Single-step Photovoltaic Power Prediction based on VMD-Attention-BiLSTM Combined Model DOI
Haisheng Yu,

Shenhui Song

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

Published: Sept. 20, 2024

Abstract Research on photovoltaic systems (PV) power prediction contributes to optimizing configurations, responding promptly emergencies, reducing costs, and maintaining long-term system stability. This study proposes a VMD-Attention-BiLSTM model for predicting ultra-short-term further enhance performance. Firstly, VMD decomposes historical data into multiple sub-sequences with different frequencies, treating each sub-sequence as separate input variable expansion. Secondly, the Attention mechanism calculates correlation coefficients between variables assigns corresponding weights based magnitude of output variable. Finally, BiLSTM adopts dual-layer LSTM structure more accurately extract features. Experimental results show that compared various advanced deep learning methods, MAE combined improves by at least 29%.

Language: Английский

Citations

1
A szaharai porviharos események hatása a hazai fotovoltaikus energiatermelésre DOI Open Access
Ágnes Rostási, György Varga, Fruzsina Gresina

et al.

Published: Jan. 1, 2024

Citations

0
Ultra-Short-Term Single-Step Photovoltaic Power Prediction Based on Vmd-Attention-Bilstm Combined Model DOI

Shenhui Song,

Haisheng Yu

Published: Jan. 1, 2024

Language: Английский

Citations

0
Determinants of Non-Hydro Renewable Energy Consumption in China’s Provincial Regions DOI Creative Commons
Yuanbo Hu, Weilun Huang,

Aibi Dai

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(16), P. 3993 - 3993

Published: Aug. 12, 2024

This study investigates the determinants of non-hydro renewable energy (NHRE) consumption across 31 provincial regions in China, spanning from 2015 to 2022. Utilizing fixed effects and moderating effects, research analyzes impacts development intensity (RDI), urbanization (UR), human capital (HC) on NHRE (NHREC). Additionally, roles industrial structure (IS) tax (TA) are examined, along with control variables such as informationization economic development. The findings reveal that increased RDI significantly boosts NHREC by enhancing technological advancements. UR also positively affects NHREC, particularly rapidly urbanizing regions, while HC provides a skilled workforce drives projects. However, identifies concentrated structures high taxes can negatively moderate these positive impacts, highlighting complex interplay factors. Policy recommendations include creating “Renewable Energy Innovation Hubs” underdeveloped attract startups researchers, developing “Solar Cities” mandated solar panels all buildings, introducing “Carbon Offset Lottery” incentivize investments energy.

Language: Английский

Citations

0