1. 專著
[1] Qixin Chen, Hongye Guo, Kedi Zheng, Yi Wang. Data Analytics in Power Markets, Springer, 2021, ISBN: 978-981-16-4974-5.
2. 國際期刊論文選
[1] Cheng Feng, Kedi Zheng, Lanqing Shan, Hani Alers, Qixin Chen, Lampros Stergioulas, Hongye Guo*. Connection-aware P2P trading: Simultaneous trading and peer selection. Applied Energy, Volume 377, Part D, 2025, 124658.
[2] Jinyu Liu, Hongye Guo*, Yun Li, Qinghu Tang, Fuquan Huang, Tunan Chen, Haiwang Zhong. Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets. Journal of Modern Power Systems and Clean Energy. 2024. (accepted)
[3] Kexin Li, Hongye Guo, Yong Tang, Songtai Yu, Cheng Feng, Qixin Chen. Modeling Strategic Behaviors of Renewable-storage Systems in Low-inertia Power Systems. Protection and Control of Modern Power Systems. 2024. (accepted)
[4] Qinghu Tang, Hongye Guo, Kedi Zheng, and Qixin Chen. Forecasting individual bids in real electricity markets through machine learning framework. Applied Energy, 2024, 363, 123053.
[5] Qixin Chen, Ruike Lyu, Hongye Guo*, Xiangbo Su. Real-Time Operation Strategy of Virtual Power Plants With Optimal Power Disaggregation Among Heterogeneous Resources. Applied Energy, 2024, 361, 122876.
[6] Xichen Fang, Hongye Guo, Kedi Zheng, Shuangquan Liu, Qixin Chen. Real-time Capacity Cost Obligations Design in High-renewable Energy Markets. Renewable and Sustainable Energy Reviews, 2024, 191, 114103.
[7] Kedi Zheng, Hongye Guo, Qixin Chen. A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information. IEEE Transactions on Power Systems, 2023, 38 (1), 278-289.
[8] Ruike Lyu, Hongye Guo, Kedi Zheng, Mingyang Sun, Qixin Chen. Co-optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-time Frequency Regulation Service. IEEE Transactions on Smart Grid, 2023.
[9] Chuyi Li, Kedi Zheng, Hongye Guo, Chongqing Kang, Qixin Chen. Computation-Power Coupled Modeling for IDCs and Collaborative Optimization in ADNs. IEEE Transactions on Smart Grid, 2023, IEEE.
[10] Yi Wang, Jiahao Ma, Ning Gao, Qingsong Wen, Liang Sun, Hongye Guo*. Federated fuzzy k-means for privacy-preserving behavior analysis in smart grids. Applied Energy, 2023, 331, 120396.
[11] Hongye Guo, Qixin Chen, Mohammad Shahidehpour, Qing Xia, Chongqing Kang. Bidding behaviors of GENCOs under bounded rationality with renewable energy. Energy, 2022, 123793.
[12] Xichen Fang, Hongye Guo, Xian Zhang, Xuanyuan Wang, Qixin Chen. An efficient and incentive-compatible market design for energy storage participation. Applied Energy, 2022, 311, 118731.
[13] Qinghu Tang, Hongye Guo, Qixin Chen. Bidding strategy evolution analysis based on multi-task inverse reinforcement learning. Electric Power Systems Research, 2022, 212, 108286.
[14] Kexin Li, Hongye Guo, Xichen Fang, Shuangquan Liu, Fei Teng, Qixin Chen. Market mechanism design of inertia and primary frequency response with consideration of energy market. IEEE Transactions on Power Systems, 2022.
[15] Qinghu Tang, Hongye Guo, Qixin Chen. Multi-market bidding behavior analysis of energy storage system based on inverse reinforcement learning. IEEE Transactions on Power Systems, 2022, 37 (6), 4819-4831.
[16] Hongye Guo, Qixin Chen, Kedi Zheng, Qing Xia, Chongqing Kang, Forecast Aggregated Supply Curves in Power Markets based on LSTM Model, IEEE Transactions on Power Systems, 2021, 36 (6), 5684-5696.
[17] Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang, Deep Inverse Reinforcement Learning for Objective Function Identification in Bidding Models, IEEE Transactions on Power Systems, 2021, 36 (6), 5767-5779.
[18] Hongye Guo, Qixin Chen, Yan Zhang, Liu Kai, Qing Xia, Chongqing Kang. Constraining the Oligopoly Manipulation in Electricity Market: A Vertical Integration Perspective. Energy, 2020, 194, 116877.
[19] Hongye Guo, Michael R. Davidson, Qixin Chen, Da Zhang, Nan Jiang, Qing Xia, Chongqing Kang, Xiliang Zhang, Power market reform in China: Motivations, progress, and recommendations, Energy Policy, 2020, Volume 145, 111717.
[20] Hongye Guo, Qixin Chen, Yuxuan Gu, Mohammad Shahidehpour, Qing Xia, Chongqing Kang. A Data-Driven Pattern Extraction Method for Analyzing Bidding Behaviors in Power Markets. IEEE Transactions on Smart Grid, 2019, 11 (4), 3509-3521.
[21] Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang. Modeling Strategic Behaviors of Renewable Energy with Joint Consideration on the Energy and Tradable Green Certificate Markets. IEEE Transactions on Power Systems, 2019, 35(3): 1898-1910.
[22] Hongye Guo, Qixin Chen, Xichen Fang, Kai Liu, Qing Xia, Chongqing Kang. Efficiency Loss for Variable Renewable Energy Incurred by Competition in Electricity Markets. IEEE Transactions on Sustainable Energy, 2019, 11 (3), 1951-1964.
[23] Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang. Market Power Mitigation Clearing Mechanism Based on Constrained Bidding Capacities. IEEE Transactions on Power Systems, 2019, VOL.34, NO.6, P4817-4827.
[24] Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang. Electricity wholesale market equilibrium analysis integrating individual risk-averse features of generation companies. Applied Energy, 2019, 252: 113443.
[25] Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang. Market equilibrium analysis with high penetration of renewables and gas-fired generation: An empirical case of the Beijing-Tianjin-Tangshan power system. Applied Energy, 2018, 227, 384-392.
[26] Hongye Guo, Qixin Chen, Qing Xia, Chongqing Kang, Xian Zhang. A monthly electricity consumption forecasting method based on vector error correction model and self-adaptive screening method. International Journal of Electrical Power & Energy Systems, 2018, 95: 427-439.
3. 國際會議論文選
[1] Jinyu Liu, Hongye Guo*, Qixin Chen. Deep Differentiable Reinforcement Learning for Generic Energy Storage Day-Ahead Bidding with Transformer Neural Networks. 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA: IEEE; 2024, p. 1–5.
[2] Ruike Lyu, Hongye Guo, Qixin Chen. Approximating energy-regulation feasible region of virtual power plants: a data-driven inverse optimization approach. 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA: IEEE; 2024, p. 1–5.
[3] Aijia Luo, Ruike Lyu, Hongye Guo, Yuanji Cai, Qixin Chen. An Incentive-Compatible VPP Profit Allocation Model Considering the Operating Characteristics of Air Conditioning Loads. 2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE). 2024.
[4] Lingjun Su, Ruike Lyu, Hongye Guo, Yuanji Cai, Qixin Chen. Coordinating Air Conditioning Load Clusters to Provide Frequency Regulation Using Setpoint Changes. 2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE). 2024.
[5] Qinghu Tang, Hongye Guo, Feng Li, Zichao Sun, Qixin Chen*. A Marginal Power Generation Cost Estimation Method Based on Probability Interval Accumulation Considering Bounded Rationality. ISGT-Asia: IEEE PES Innovative Smart Grid Technologies - Asia. 2023.
[6] Haotian Song, Qinghu Tang, Hongye Guo, Jianing Liu, Zhuo Su, Qixin Chen. Data-Driven Electricity Market Price Risk Evaluation Based on Price Elasticity Indicator. 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), IEEE; 2023, p. 467–472. (Best Industrial Paper)
[7] Ruike Lyu, Hongye Guo, Yuanjie Zheng, Yunlong Bai, Qixin Chen. LSTN: A Linear Model of Industrial Production Process for Demand Response. 2023 IEEE PES Innovative Smart Grid Technologies(ISGT-EUROPE), IEEE; 2023, p. 1-5.
[8] Shuo Yang, Hongye Guo, Χue Liu, Qingbiao Lin, Xichen Fang, Qixin Chen. Power Market Equilibrium Analysis based on Gradient Optimization Method. 2019 IEEE Sustainable Power and Energy Conference (iSPEC), Beijing, China: IEEE; 2019, p. 2211–6.
[9] Xichen Fang, Yunhe Hou, Χue Liu, Hongye Guo, Qixin Chen. Strategic Behaviors of Wind Generators in a Stochastic Joint Power Market Equilibrium. 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA: IEEE; 2019, p. 1–5.
[10] Hongye Guo, Qixin Chen, Qing Xia, Shuo Yang, Peng Zou. A Market-Power-Controlled Spot Market Clearing Mechanism Based on Residual Supply Index. 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR: IEEE; 2018, p. 1–5.
[11] Hongye Guo, Qixin Chen, Qing Xia, Junliu Zhang, Ming Li, Peng Zou. Evaluating the impacts of VPPs on the joint energy and ancillary service markets equilibrium. 2017 IEEE Power Energy Society General Meeting, 2017, p. 1–5.
[12] Wentao Liu, Hongye Guo, Jialong Li, Yuguo Chen, Qixin Chen. Optimal bidding strategy for energy storage systems in energy and flexible ramping products markets. 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), Melbourne, Australia: IEEE; 2016, p. 776–80.
4. 國内期刊論文選
[1] 鐘海旺, 張甯, 杜爾順, 郭鴻業, 蔡元紀, 王鵬, 高洪超, 李姚旺, 劉學, 康重慶, 夏清. 新型電力系統中的規劃運營與電力市場:研究進展與科研實踐[J]. 中國電機工程學報, 2024, 44(18): 7084-7104.
[2] 邱小燕, 郭鴻業, 陳啟鑫, 蔡元紀. 我國電力零售市場商業套餐模式選擇探究——電力零售套餐多維度影響因素分析及優化設計[J]. 價格理論與實踐, 2024, (05): 92-96+222.
[3] 蘇湘波, 呂睿可, 郭鴻業*, 陳啟鑫. 基于負荷台階的工業需求響應用戶優選方法[J/OL]. 中國電力, 2024, 1-12.
[4] 郭鴻業, 鄭可迪, 唐慶虎, 房曦晨, 陳啟鑫. 數據驅動的電力市場研究:挑戰與展望[J]. 電力系統自動化, 2023, 47(01): 200-215.
[5] 田曦晨, 郭鴻業, 李可昕, 黃俊靈, 陳啟鑫. 市場環境下滿足機組成本回收約束的電源規劃方法[J]. 電力自動化設備, 2023, 43(252-258).
[6] 陳啟鑫, 呂睿可, 郭鴻業*, 賈宏傑, 丁一, 王毅, 康重慶. 面向需求響應的電力用戶行為建模:研究現狀與應用[J]. 電力自動化設備, 2023, 43(23-37).
[7] 劉學, 劉碩, 于松泰, 孫田, 郭鴻業*. 面向新型電力系統靈活性提升的調峰容量補償機制設計[J]. 電網技術, 2023, 47(155-163).
[8] 張天雨, 王羅, 孫勇, 于傲, 鄭可迪, 郭鴻業, 陳啟鑫. 基于主從博弈的共享儲能定價策略及園區用戶日前優化決策[J]. 電力需求側管理, 2023, 25(1-7).
[9] 康重慶, 杜爾順, 李姚旺, 張甯, 陳啟鑫,郭鴻業,王鵬. 新型電力系統的“碳視角”:科學問題與研究框架[J/OL]. 電網技術, 2022, 46(3): 821-833.
[10] 陳啟鑫, 呂睿可, 唐慶虎, 李可昕, 高洪超, 郭鴻業*. 從澳大利亞現貨市場暫停事件看電力市場緊急狀态應對[J]. 電力系統自動化, 2022, 46 (16): 214-223.
[11] 韓亮, 張維靜, 胡娛歐, 張晶,郭鴻業,陳啟鑫. 考慮虛拟電廠的電力系統靈活性提升方案研究[J]. 電力需求側管理, 2022, 24(4): 14-20.
[12] 李可昕, 郭鴻業, 陳啟鑫. 從加州限電事故與美國 WEIM 機制看電力市場的融合協同[J]. 電力系統自動化, 2021, 45(10): 1-8.
[13] 陳啟鑫, 劉學, 房曦晨, 郭鴻業, 林慶标. 考慮可再生能源保障性消納的電力市場出清機制[J]. 電力系統自動化, 2021, 45(06): 26-33.
[14] 陳啟鑫, 房曦晨, 郭鴻業, 王宣元,楊争林,曹榮章,夏清等. 電力現貨市場建設進展與關鍵問題[J]. 電力系統自動化, 2021, 45(06): 3-15.
[15] 陳啟鑫, 房曦晨, 郭鴻業,何冠楠,張達,夏清 . 儲能參與電力市場機制:現狀與展望[J]. 電力系統自動化, 2021, 45(16): 14-28.
[16] 張妍, 陳啟鑫, 郭鴻業,王一,盧恩 等. 引入投資決策的電力容量市場均衡分析[J]. 電力系統自動化, 2020, 44(20): 11-18.
[17] 夏清, 陳啟鑫, 謝開, 龐博, 李竹, 郭鴻業. 中國特色、全國統一的電力市場關鍵問題研究(2):我國跨區跨省電力交易市場的發展途徑、交易品種與政策建議[J]. 電網技術, 2020, 44(08): 2801-2808.
[18] 陳啟鑫, 張維靜, 滕飛, 郭鴻業, 劉學, 姜楠. 歐洲跨國電力市場的輸電機制與耦合方式[J]. 全球能源互聯網, 2020, 3(05): 423-429.
[19] 王克道, 陳啟鑫, 郭鴻業, 夏清. 面向可交易能源的儲能容量合約機制設計與交易策略[J]. 電力系統自動化, 2018, 42(14): 54-60+90.
[20] 郭鴻業, 陳啟鑫, 鐘海旺, 汪洋, 張維靜, 夏清. 基于标準化金融交割曲線的現貨市場建設路徑設計[J]. 電力系統自動化, 2017, 41(17): 1-8.
[21] 郭鴻業, 陳啟鑫, 夏清, 鄒鵬. 電力市場中的靈活調節服務:基本概念、均衡模型與研究方向[J]. 中國電機工程學報, 2017, 37(11): 3057-3066+3361.
[22] 郭鴻業, 陳啟鑫, 夏清, 範海紅. 考慮經濟因素時滞效應的月度負荷預測方法[J]. 電網技術, 2016, 40(02): 514-520.
5. 參編标準
[1] 全國電力系統管理及信息交換标準化技術委員會(SAC/TC 82) "電力負荷管理系統技術規範." GB/T 15148-2024. 2024-04-25.
6. 授權專利
[1] 陳啟鑫, 顧宇軒, 郭鴻業, 鄭可迪, 康重慶, 夏清, 陳遠博. 一種基于電化學機理的锂離子電池内外特性仿真方法, 授權日期:2024.06.25, 中國, ZL202111446911.3
[2] 陳啟鑫, 顧宇軒, 郭鴻業, 鄭可迪, 康重慶, 夏清, 陳遠博. 一種锂離子電池電極活性材料表面锂濃度的實時估計方法, 授權日期:2022.09.23, 中國, ZL202110728584.4
[3] 陳啟鑫, 顧宇軒, 郭鴻業, 鄭可迪, 康重慶, 夏清, 陳遠博. 一種锂離子電池内部反應離子通量和電勢的估計方法, 授權日期:2022.09.20, 中國, ZL202110725759.6
[4] 陳啟鑫, 鄭可迪, 王毅, 顧宇軒, 郭鴻業, 康重慶, 夏清. 短期負荷的概率預測方法和概率預測裝置, 授權日期:2022.07.01, 中國, ZL202010614204.X
[5] 陳啟鑫, 顧宇軒, 鄭可迪, 郭鴻業, 康重慶, 夏清. 用戶典型用電模式的獲取方法、獲取裝置和電子設備, 授權日期:2022.05.06, 中國, ZL202010903047.4
[6] 陳啟鑫, 房曦晨, 郭鴻業, 夏清, 康重慶. 規避風電在現貨市場中策略性行為的偏差定價方法及系統, 授權日期:2022.04.08, 中國, ZL201910644571.1
7. 軟件著作權
[1] 陳啟鑫, 唐慶虎, 郭鴻業, 鄭可迪, 劉瑾瑜, 蔡元紀. 電力市場數字孿生分析演示平台軟件V1.0, 2024, 軟著登字第13344366号
[2] 陳啟鑫, 鄭可迪, 郭鴻業, 唐慶虎. 節點電價實時點預測及區間預測軟件V1.0, 2023, 軟著登字第11626089号
[3] 陳啟鑫, 房曦晨, 郭鴻業, 鄭可迪, 蔡元紀. 高比例新能源系統下實時容量價格核算軟件V1.0, 2023, 軟著登字第13269171号
[4] 陳啟鑫, 李楚一, 郭鴻業, 鄭可迪. 工業大用戶的負荷非侵入式辨識軟件V1.0, 2023, 軟著登字第11086130号
[5] 陳啟鑫, 唐慶虎, 郭鴻業, 鄭可迪. 電力現貨市場數據追蹤獲取、解析、存儲與查詢軟件V1.0, 2022, 軟著登字第10392531号