Huang He Qi

Personal Details

First Name:	Huang
Middle Name:	He
Last Name:	Qi
Suffix:
RePEc Short-ID:	pqi124
	[This author has chosen not to make the email address public]

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Bamisile, Olusola & Huang, Qi & Xu, Xiao & Hu, Weihao & Liu, Wen & Liu, Zhou & Chen, Zhe, 2020. "An approach for sustainable energy planning towards 100 % electrification of Nigeria by 2030," Energy, Elsevier, vol. 197(C).

   Cited by:

   1. Juanpera, M. & Domenech, B. & Ferrer-Martí, L. & Garzón, A. & Pastor, R., 2021. "Renewable-based electrification for remote locations. Does short-term success endure over time? A case study in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
   2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
   3. Dimnwobi, Stephen & Madichie, Chekwube & Ekesiobi, Chukwunonso & Asongu, Simplice A, 2022. "Financial Development and Renewable Energy Consumption in Nigeria," MPRA Paper 119312, University Library of Munich, Germany.
      • Dimnwobi, Stephen Kelechi & Madichie, Chekwube V. & Ekesiobi, Chukwunonso & Asongu, Simplice A., 2022. "Financial development and renewable energy consumption in Nigeria," Renewable Energy, Elsevier, vol. 192(C), pages 668-677.
      • Stephen K. Dimnwobi & Chekwube V. Madichie & Chukwunonso Ekesiobi & Simplice A. Asongu, 2022. "Financial Development and Renewable Energy Consumption in Nigeria," Working Papers of the African Governance and Development Institute. 22/024, African Governance and Development Institute..
      • Stephen K. Dimnwobi & Chekwube V. Madichie & Chukwunonso Ekesiobi & Simplice A. Asongu, 2022. "Financial Development and Renewable Energy Consumption in Nigeria," Working Papers 22/024, European Xtramile Centre of African Studies (EXCAS).
   4. Juan Carlos Osorio-Aravena & Marina Frolova & Julio Terrados-Cepeda & Emilio Muñoz-Cerón, 2020. "Spatial Energy Planning: A Review," Energies, MDPI, vol. 13(20), pages 1-14, October.
   5. Sandra Chukwudumebi Obiora & Olusola Bamisile & Evans Opoku-Mensah & Adasa Nkrumah Kofi Frimpong, 2020. "Impact of Banking and Financial Systems on Environmental Sustainability: An Overarching Study of Developing, Emerging, and Developed Economies," Sustainability, MDPI, vol. 12(19), pages 1-21, September.
   6. Tanoto, Yusak & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2021. "Reliability-cost trade-offs for electricity industry planning with high variable renewable energy penetrations in emerging economies: A case study of Indonesia’s Java-Bali grid," Energy, Elsevier, vol. 227(C).
   7. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
   8. Groppi, Daniele & Nastasi, Benedetto & Prina, Matteo Giacomo, 2022. "The EPLANoptMAC model to plan the decarbonisation of the maritime transport sector of a small island," Energy, Elsevier, vol. 254(PA).
   9. Hamagham Peter Ishaku & Humphrey Adun & Moein Jazayeri & Mehmet Kusaf, 2022. "Decarbonisation Strategy for Renewable Energy Integration for Electrification of West African Nations: A Bottom-Up EnergyPLAN Modelling of West African Power Pool Targets," Sustainability, MDPI, vol. 14(23), pages 1-36, November.
   10. Zhang, Changbing & Cao, Wenzhe & Xie, Tingting & Wang, Chongxun & Shen, Chunhe & Wen, Xiankui & Mao, Cheng, 2022. "Operational characteristics and optimization of Hydro-PV power hybrid electricity system," Renewable Energy, Elsevier, vol. 200(C), pages 601-613.
   11. Sorknæs, Peter & Johannsen, Rasmus M. & Korberg, Andrei D. & Nielsen, Tore B. & Petersen, Uni R. & Mathiesen, Brian V., 2022. "Electrification of the industrial sector in 100% renewable energy scenarios," Energy, Elsevier, vol. 254(PB).
   12. Joseph Akpan & Oludolapo Olanrewaju, 2023. "Towards a Common Methodology and Modelling Tool for 100% Renewable Energy Analysis: A Review," Energies, MDPI, vol. 16(18), pages 1-42, September.
   13. Mustapha Mukhtar & Sandra Obiora & Nasser Yimen & Zhang Quixin & Olusola Bamisile & Pauline Jidele & Young I. Irivboje, 2021. "Effect of Inadequate Electrification on Nigeria’s Economic Development and Environmental Sustainability," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
   14. Owebor, K. & Diemuodeke, E.O. & Briggs, T.A., 2022. "Thermo-economic and environmental analysis of integrated power plant with carbon capture and storage technology," Energy, Elsevier, vol. 240(C).
   15. Okonkwo, Eric C. & Wole-Osho, Ifeoluwa & Bamisile, Olusola & Abid, Muhammad & Al-Ansari, Tareq, 2021. "Grid integration of renewable energy in Qatar: Potentials and limitations," Energy, Elsevier, vol. 235(C).
   16. Makhloufi, Saida & Khennas, Smail & Bouchaib, Sami & Arab, Amar Hadj, 2022. "Multi-objective cuckoo search algorithm for optimized pathways for 75 % renewable electricity mix by 2050 in Algeria," Renewable Energy, Elsevier, vol. 185(C), pages 1410-1424.
   17. Yao Li & Liulin Yang & Tianlu Luo, 2023. "Energy System Low-Carbon Transition under Dual-Carbon Goals: The Case of Guangxi, China Using the EnergyPLAN Tool," Energies, MDPI, vol. 16(8), pages 1-16, April.
   18. Nielsen, Steffen & Østergaard, Poul Alberg & Sperling, Karl, 2023. "Renewable energy transition, transmission system impacts and regional development – a mismatch between national planning and local development," Energy, Elsevier, vol. 278(PA).
   19. Wasiu Olalekan Idris & Mohd Zamri Ibrahim & Aliashim Albani, 2020. "The Status of the Development of Wind Energy in Nigeria," Energies, MDPI, vol. 13(23), pages 1-16, November.
   20. Temitope Adeyemi-Kayode & Sanjay Misra & Hope Orovwode & Anthony Adoghe, 2022. "Modeling the Next Decade of Energy Sustainability: A Case of a Developing Country," Energies, MDPI, vol. 15(14), pages 1-19, July.
   21. Blimpo, Moussa P. & Dato, Prudence & Mukhaya, Brian & Odarno, Lily, 2024. "Climate change and economic development in Africa: A systematic review of energy transition modeling research," Energy Policy, Elsevier, vol. 187(C).
   22. Arévalo, Paul & Cano, Antonio & Jurado, Francisco, 2024. "Large-scale integration of renewable energies by 2050 through demand prediction with ANFIS, Ecuador case study," Energy, Elsevier, vol. 286(C).
   23. Wang, Xiaokui & Bamisile, Olusola & Chen, Shuheng & Xu, Xiao & Luo, Shihua & Huang, Qi & Hu, Weihao, 2022. "Decarbonization of China's electricity systems with hydropower penetration and pumped-hydro storage: Comparing the policies with a techno-economic analysis," Renewable Energy, Elsevier, vol. 196(C), pages 65-83.

2. Li, Pengfei & Hu, Weihao & Hu, Rui & Huang, Qi & Yao, Jun & Chen, Zhe, 2019. "Strategy for wind power plant contribution to frequency control under variable wind speed," Renewable Energy, Elsevier, vol. 130(C), pages 1226-1236.

   Cited by:

   1. Wang, Huaizhi & Liu, Yangyang & Zhou, Bin & Voropai, Nikolai & Cao, Guangzhong & Jia, Youwei & Barakhtenko, Evgeny, 2020. "Advanced adaptive frequency support scheme for DFIG under cyber uncertainty," Renewable Energy, Elsevier, vol. 161(C), pages 98-109.
   2. Krzysztof Wrobel & Krzysztof Tomczewski & Artur Sliwinski & Andrzej Tomczewski, 2021. "Optimization of a Small Wind Power Plant for Annual Wind Speed Distribution," Energies, MDPI, vol. 14(6), pages 1-18, March.
   3. Dariusz Świsulski & Piotr Warda, 2023. "Implementation of an Adaptive Method for Changing the Frequency Division of the Counter Clock Signal in a Frequency-to-Code Converter," Energies, MDPI, vol. 16(14), pages 1-21, July.
   4. Li, Le & Zhu, Donghai & Zou, Xudong & Hu, Jiabing & Kang, Yong & Guerrero, Josep M., 2023. "Review of frequency regulation requirements for wind power plants in international grid codes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
   5. Khan, Asif & Seyedmahmoudian, Mehdi & Raza, Ali & Stojcevski, Alex, 2021. "Analytical review on common and state-of-the-art FR strategies for VSC-MTDC integrated offshore wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
   6. Anukriti Pokhriyal & José Luis Domínguez-García & Pedro Gómez-Romero, 2022. "Impact of Battery Energy System Integration in Frequency Control of an Electrical Grid with Wind Power," Clean Technol., MDPI, vol. 4(4), pages 1-15, October.
   7. Lingqin Xia & Guang Chen & Tao Wu & Yu Gao & Ardashir Mohammadzadeh & Ebrahim Ghaderpour, 2022. "Optimal Intelligent Control for Doubly Fed Induction Generators," Mathematics, MDPI, vol. 11(1), pages 1-16, December.
   8. Mohamed Hadri & Vincenzo Trovato & Agnes Bialecki & Bruno Merk & Aiden Peakman, 2021. "Assessment of High-Electrification UK Scenarios with Varying Levels of Nuclear Power and Associated Post-Fault Behaviour," Energies, MDPI, vol. 14(6), pages 1-23, March.

3. Xiawei Wu & Weihao Hu & Qi Huang & Cong Chen & Zhe Chen & Frede Blaabjerg, 2019. "Optimized Placement of Onshore Wind Farms Considering Topography," Energies, MDPI, vol. 12(15), pages 1-18, July.

   Cited by:

   1. Daniel Duda & Václav Uruba & Vitalii Yanovych, 2021. "Wake Width: Discussion of Several Methods How to Estimate It by Using Measured Experimental Data," Energies, MDPI, vol. 14(15), pages 1-19, August.
   2. Florin Onea & Andrés Ruiz & Eugen Rusu, 2020. "An Evaluation of the Wind Energy Resources along the Spanish Continental Nearshore," Energies, MDPI, vol. 13(15), pages 1-23, August.
   3. Waldemar Kuczyński & Katarzyna Wolniewicz & Henryk Charun, 2021. "Analysis of the Wind Turbine Selection for the Given Wind Conditions," Energies, MDPI, vol. 14(22), pages 1-16, November.
   4. Andrés Ruiz & Florin Onea & Eugen Rusu, 2020. "Study Concerning the Expected Dynamics of the Wind Energy Resources in the Iberian Nearshore," Energies, MDPI, vol. 13(18), pages 1-25, September.
   5. Katarzyna Wolniewicz & Adam Zagubień & Mirosław Wesołowski, 2021. "Energy and Acoustic Environmental Effective Approach for a Wind Farm Location," Energies, MDPI, vol. 14(21), pages 1-17, November.
   6. Chakib El Mokhi & Adnane Addaim, 2020. "Optimization of Wind Turbine Interconnections in an Offshore Wind Farm Using Metaheuristic Algorithms," Sustainability, MDPI, vol. 12(14), pages 1-24, July.

4. Jianjun Chen & Weihao Hu & Di Cao & Bin Zhang & Qi Huang & Zhe Chen & Frede Blaabjerg, 2019. "An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach," Energies, MDPI, vol. 12(14), pages 1-15, July.

   Cited by:

   1. Yuri Vankov & Aleksey Rumyantsev & Shamil Ziganshin & Tatyana Politova & Rinat Minyazev & Ayrat Zagretdinov, 2020. "Assessment of the Condition of Pipelines Using Convolutional Neural Networks," Energies, MDPI, vol. 13(3), pages 1-12, February.
   2. Hongwei Li & Kaide Ren & Shuaibing Li & Haiying Dong, 2020. "Adaptive Multi-Model Switching Predictive Active Power Control Scheme for Wind Generator System," Energies, MDPI, vol. 13(6), pages 1-12, March.
   3. Chatterjee, Joyjit & Dethlefs, Nina, 2021. "Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
   4. Jorge Maldonado-Correa & Sergio Martín-Martínez & Estefanía Artigao & Emilio Gómez-Lázaro, 2020. "Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review," Energies, MDPI, vol. 13(12), pages 1-21, June.

5. Hu, Rui & Hu, Weihao & Gökmen, Nuri & Li, Pengfei & Huang, Qi & Chen, Zhe, 2019. "High resolution wind speed forecasting based on wavelet decomposed phase space reconstruction and self-organizing map," Renewable Energy, Elsevier, vol. 140(C), pages 17-31.

   Cited by:

   1. Jianguo Zhou & Dongfeng Chen, 2021. "Carbon Price Forecasting Based on Improved CEEMDAN and Extreme Learning Machine Optimized by Sparrow Search Algorithm," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
   2. Lu, Peng & Ye, Lin & Zhao, Yongning & Dai, Binhua & Pei, Ming & Tang, Yong, 2021. "Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges," Applied Energy, Elsevier, vol. 301(C).
   3. Jiang, Zhe & Zhang, Lin & Zhang, Lingling & Wen, Bo, 2022. "Investor sentiment and machine learning: Predicting the price of China's crude oil futures market," Energy, Elsevier, vol. 247(C).
   4. Yang, Qiuling & Deng, Changhong & Chang, Xiqiang, 2022. "Ultra-short-term / short-term wind speed prediction based on improved singular spectrum analysis," Renewable Energy, Elsevier, vol. 184(C), pages 36-44.
   5. Gao, Tian & Niu, Dongxiao & Ji, Zhengsen & Sun, Lijie, 2022. "Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm," Energy, Elsevier, vol. 261(PB).
   6. Lin, Boqiang & Zhang, Chongchong, 2021. "A novel hybrid machine learning model for short-term wind speed prediction in inner Mongolia, China," Renewable Energy, Elsevier, vol. 179(C), pages 1565-1577.
   7. He, Zhichao & Huang, Jianhua, 2023. "A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction," Resources Policy, Elsevier, vol. 86(PB).
   8. Wang, Han & Yan, Jie & Han, Shuang & Liu, Yongqian, 2020. "Switching strategy of the low wind speed wind turbine based on real-time wind process prediction for the integration of wind power and EVs," Renewable Energy, Elsevier, vol. 157(C), pages 256-272.
   9. Balkissoon, Sarah & Fox, Neil & Lupo, Anthony & Haupt, Sue Ellen & Penny, Stephen G., 2023. "Classification of tall tower meteorological variables and forecasting wind speeds in Columbia, Missouri," Renewable Energy, Elsevier, vol. 217(C).
   10. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
   11. Zhang, Chu & Ji, Chunlei & Hua, Lei & Ma, Huixin & Nazir, Muhammad Shahzad & Peng, Tian, 2022. "Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction," Renewable Energy, Elsevier, vol. 197(C), pages 668-682.
   12. Wang, Yun & Xu, Houhua & Song, Mengmeng & Zhang, Fan & Li, Yifen & Zhou, Shengchao & Zhang, Lingjun, 2023. "A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting," Applied Energy, Elsevier, vol. 333(C).
   13. Ifaei, Pouya & Nazari-Heris, Morteza & Tayerani Charmchi, Amir Saman & Asadi, Somayeh & Yoo, ChangKyoo, 2023. "Sustainable energies and machine learning: An organized review of recent applications and challenges," Energy, Elsevier, vol. 266(C).
   14. Yang, Rui & Liu, Hui & Nikitas, Nikolaos & Duan, Zhu & Li, Yanfei & Li, Ye, 2022. "Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach," Energy, Elsevier, vol. 239(PB).

6. Wang, Ni & Li, Jian & Hu, Weihao & Zhang, Baohua & Huang, Qi & Chen, Zhe, 2019. "Optimal reactive power dispatch of a full-scale converter based wind farm considering loss minimization," Renewable Energy, Elsevier, vol. 139(C), pages 292-301.

   Cited by:

   1. Yuchen Song & Weihao Hu & Xiao Xu & Qi Huang & Gang Chen & Xiaoyan Han & Zhe Chen, 2019. "Optimal Investment Strategies for Solar Energy Based Systems," Energies, MDPI, vol. 12(14), pages 1-17, July.
   2. Song, Dongran & Liu, Junbo & Yang, Jian & Su, Mei & Wang, Yun & Yang, Xuebing & Huang, Lingxiang & Joo, Young Hoon, 2020. "Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization," Energy, Elsevier, vol. 193(C).
   3. Liao, Hao & Hu, Weihao & Wu, Xiawei & Wang, Ni & Liu, Zhou & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Active power dispatch optimization for offshore wind farms considering fatigue distribution," Renewable Energy, Elsevier, vol. 151(C), pages 1173-1185.
   4. Wang, Ni & Li, Jian & Yu, Xiang & Zhou, Dao & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2020. "Optimal active and reactive power cooperative dispatch strategy of wind farm considering levelised production cost minimisation," Renewable Energy, Elsevier, vol. 148(C), pages 113-123.
   5. Huang, Zhanghao & Zhang, Yachao & Xie, Shiwei, 2022. "Data-adaptive robust coordinated optimization of dynamic active and reactive power flow in active distribution networks," Renewable Energy, Elsevier, vol. 188(C), pages 164-183.
   6. Jianjun Chen & Weihao Hu & Di Cao & Bin Zhang & Qi Huang & Zhe Chen & Frede Blaabjerg, 2019. "An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach," Energies, MDPI, vol. 12(14), pages 1-15, July.
   7. Xu, Xiao & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system," Renewable Energy, Elsevier, vol. 147(P1), pages 1418-1431.
   8. Hu, Rui & Hu, Weihao & Gökmen, Nuri & Li, Pengfei & Huang, Qi & Chen, Zhe, 2019. "High resolution wind speed forecasting based on wavelet decomposed phase space reconstruction and self-organizing map," Renewable Energy, Elsevier, vol. 140(C), pages 17-31.

7. Li, Pengfei & Hu, Weihao & Xu, Xiao & Huang, Qi & Liu, Zhou & Chen, Zhe, 2019. "A frequency control strategy of electric vehicles in microgrid using virtual synchronous generator control," Energy, Elsevier, vol. 189(C).

   Cited by:

   1. Huo, Yujia & Gruosso, Giambattista, 2020. "A novel ramp-rate control of grid-tied PV-Battery systems to reduce required battery capacity," Energy, Elsevier, vol. 210(C).
   2. Yuxin Wen & Peixiao Fan & Jia Hu & Song Ke & Fuzhang Wu & Xu Zhu, 2022. "An Optimal Scheduling Strategy of a Microgrid with V2G Based on Deep Q-Learning," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
   3. Xiu, Liancheng & Du, Zhiye & Wu, BinBing & Li, Guanjun & Wang, Dongjie & Song, Hanliang, 2021. "A novel adaptive frequency extraction method for fast and accurate connection between inverters and microgrids," Energy, Elsevier, vol. 221(C).
   4. Xing, Wei & Wang, Hewu & Lu, Languang & Han, Xuebing & Sun, Kai & Ouyang, Minggao, 2021. "An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids," Energy, Elsevier, vol. 233(C).
   5. Rao, Yingqing & Yang, Jun & Xiao, Jinxing & Xu, Bingyan & Liu, Wenjing & Li, Yonghui, 2021. "A frequency control strategy for multimicrogrids with V2G based on the improved robust model predictive control," Energy, Elsevier, vol. 222(C).
   6. Mousavizade, Mirsaeed & Bai, Feifei & Garmabdari, Rasoul & Sanjari, Mohammad & Taghizadeh, Foad & Mahmoudian, Ali & Lu, Junwei, 2023. "Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations," Applied Energy, Elsevier, vol. 341(C).
   7. Géremi Gilson Dranka & Paula Ferreira, 2020. "Electric Vehicles and Biofuels Synergies in the Brazilian Energy System," Energies, MDPI, vol. 13(17), pages 1-22, August.
   8. Adlan Pradana & Mejbaul Haque & Mithulanathan Nadarajah, 2023. "Control Strategies of Electric Vehicles Participating in Ancillary Services: A Comprehensive Review," Energies, MDPI, vol. 16(4), pages 1-36, February.
   9. Faris Adnan Padhilah & Kyeong-Hwa Kim, 2021. "A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints," Sustainability, MDPI, vol. 13(16), pages 1-37, August.
   10. Gao, Yan & Jiang, Chen & Yu, Dahai & Ahmad, Maiwand, 2023. "A novel electric differential and synchronization control method for 4WD/4WS electric vehicles based on fictitious master," Energy, Elsevier, vol. 274(C).
   11. Yeong Yoo & Yousef Al-Shawesh & Alain Tchagang, 2021. "Coordinated Control Strategy and Validation of Vehicle-to-Grid for Frequency Control," Energies, MDPI, vol. 14(9), pages 1-23, April.
   12. Myada Shadoul & Razzaqul Ahshan & Rashid S. AlAbri & Abdullah Al-Badi & Mohammed Albadi & Mohsin Jamil, 2022. "A Comprehensive Review on a Virtual-Synchronous Generator: Topologies, Control Orders and Techniques, Energy Storages, and Applications," Energies, MDPI, vol. 15(22), pages 1-27, November.

8. Yuchen Song & Weihao Hu & Xiao Xu & Qi Huang & Gang Chen & Xiaoyan Han & Zhe Chen, 2019. "Optimal Investment Strategies for Solar Energy Based Systems," Energies, MDPI, vol. 12(14), pages 1-17, July.

   Cited by:

   1. Alexandra G. Papadopoulou & George Vasileiou & Alexandros Flamos, 2020. "A Comparison of Dispatchable RES Technoeconomics: Is There a Niche for Concentrated Solar Power?," Energies, MDPI, vol. 13(18), pages 1-22, September.
   2. Elisa Marrasso & Carlo Roselli & Francesco Tariello, 2020. "Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes," Energies, MDPI, vol. 13(14), pages 1-24, July.

9. Yufei Teng & Xiaopeng Li & Qi Huang & Yifei Wang & Shi Jing & Zhenchao Jiang & Wei Zhen, 2017. "A Novel High-Frequency Voltage Standing-Wave Ratio-Based Grounding Electrode Line Fault Supervision in Ultra-High Voltage DC Transmission Systems," Energies, MDPI, vol. 10(3), pages 1-17, March.

   Cited by:

   1. Ngo Minh Khoa & Doan Duc Tung, 2018. "Locating Fault on Transmission Line with Static Var Compensator Based on Phasor Measurement Unit," Energies, MDPI, vol. 11(9), pages 1-14, September.

10. Qi Huang & Marshall S. Jiang & Jianjun Miao, 2016. "Effect of government subsidization on Chinese industrial firms’ technological innovation efficiency: A stochastic frontier analysis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(2), pages 187-200, April.

    Cited by:

    1. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    2. Wang, Mei Ling, 2023. "Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Di Wang & Wei Dou, 2024. "Investigation on how carbon markets and digital transformation affect green innovation: evidence from Chinese listed companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 22775-22800, September.
    4. Yongli Zhang & Sanggyun Na & Jianguang Niu & Beichen Jiang, 2018. "The Influencing Factors, Regional Difference and Temporal Variation of Industrial Technology Innovation: Evidence with the FOA-GRNN Model," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    5. Wang, Nannan & Gong, Zheng & Xu, Zhuhuizi & Liu, Zhankun & Han, Yu, 2021. "A quantitative investigation of the technological innovation in large construction companies," Technology in Society, Elsevier, vol. 65(C).

11. Zhaohui Chen & Qi Huang, 2016. "Globally exponential stability and stabilization of interconnected Markovian jump system with mode-dependent delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(1), pages 14-31, January.

    Cited by:

    1. Hongqian Lu & Chaoqun Guo & Yue Hu & Wuneng Zhou, 2019. "Event-Triggered Stability Analysis of Semi-Markovian Jump Networked Control System with Actuator Faults and Time-Varying Delay via Bessel–Legendre Inequalities," Complexity, Hindawi, vol. 2019, pages 1-16, October.

12. Chen, Zhaohui & Huang, Qi & Liu, Zhang, 2015. "Decentralized finite-time H∞ filtering for interconnected Markovian jump system with interval mode-dependent delays," Applied Mathematics and Computation, Elsevier, vol. 258(C), pages 138-154.

    Cited by:

    1. Wenhai Qi & Yonggui Kao & Xianwen Gao, 2017. "Further results on finite-time stabilisation for stochastic Markovian jump systems with time-varying delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(14), pages 2967-2975, October.

13. Qi Huang & Richard M. Levich, 2003. "Underpricing Of New Equity Offerings By Privatized Firms: An International Test," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-30.

    Cited by:

    1. Jeffry M. Netter & William L. Megginson, 2001. "From State to Market: A Survey of Empirical Studies on Privatization," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 321-389, June.
    2. Saeed Md. Abdullah & Simon Zaby, 2021. "Seasoned Equity Offerings and Differences in Share-Price Impact by Firm Categories," IJFS, MDPI, vol. 9(3), pages 1-10, July.
    3. Henna Malik & Malik Muhammad Shehr Yar & Attiya Yasmin Javid, 2017. "New Issues Puzzle: Experience from Karachi Stock Exchange," Working Papers id:12182, eSocialSciences.

14. C. Kanzow & H. Qi & L. Qi, 2003. "On the Minimum Norm Solution of Linear Programs," Journal of Optimization Theory and Applications, Springer, vol. 116(2), pages 333-345, February.

    Cited by:

    1. Hossein Moosaei & Milan Hladík, 2021. "On the Optimal Correction of Infeasible Systems of Linear Inequalities," Journal of Optimization Theory and Applications, Springer, vol. 190(1), pages 32-55, July.
    2. Moosaei, H. & Ketabchi, S. & Noor, M.A. & Iqbal, J. & Hooshyarbakhsh, V., 2015. "Some techniques for solving absolute value equations," Applied Mathematics and Computation, Elsevier, vol. 268(C), pages 696-705.
    3. Saeed Ketabchi & Hossein Moosaei, 2012. "Minimum Norm Solution to the Absolute Value Equation in the Convex Case," Journal of Optimization Theory and Applications, Springer, vol. 154(3), pages 1080-1087, September.
    4. M. J. Cánovas & M. J. Gisbert & D. Klatte & J. Parra, 2022. "Projection-Based Local and Global Lipschitz Moduli of the Optimal Value in Linear Programming," Journal of Optimization Theory and Applications, Springer, vol. 193(1), pages 280-299, June.
    5. G. Zhou & K. C. Toh, 2005. "Superlinear Convergence of a Newton-Type Algorithm for Monotone Equations," Journal of Optimization Theory and Applications, Springer, vol. 125(1), pages 205-221, April.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Huang He Qi should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.