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邓娜娜




邓娜娜,北京理工大学经济学院预聘副教授,研究方向包括资源与环境管理、电力需求侧管理、能源贫困等。在Nature Communications、 Environmental Science &Technology、Energy Economics、Applied Energy、Environmental Impact Assessment Review等学术期刊发表论文二十余篇,合作出版学术专著《能源大数据管理与应用》1部,主持中国自然科学基金青年项目(C类)、中国博士后科学基金面上项目和国家资助博士后项目等,参与国家自然科学基金创新群体项目、重点项目等。


联系方式

地址:北京市房山区北京理工大学良乡校区行政楼219室

邮编:100081

邮箱:dn57160@126.com


教育背景

2022/07-2023/07, 英国伦敦大学学院,公派联合培养

2019/09-2023/06, 北京理工大学,管理与经济学院,管理学博士


工作经历

2026/01至今 北京理工大学,经济学院,预聘副教授

2023/07-2026/01 北京理工大学,经济学院,博士后


发表论文(*表示通讯作者,1表示第一作者)

[1] Qiu Y1 , Deng N1, Wang B, Shen X, Wang Z, Hultman N, Shi H, Liu J, Wang Y. Power supply disruptions deter electric vehicle adoption in cities in China[J]. Nature Communications, 2024, 15(1): 6041.

[2] Wang B, Shi Han*, Qiu Y*, Deng N*, Nock D, Shen X, Wang Z*, Wang Y. Unequal power outages induced by natural disasters[J]. Nature Communications, 2025, 16(1): 8947.

[3] Ma S1, Deng N1, Zhao C,Wang P, Zhou C, Sun C, Guan D, Wang Z, Meng J. Decreasing Greenhouse Gas Emissions from the Municipal Solid Waste Sector in Chinese Cities[J]. Environmental Science & Technology, 2024, 58 (26): 11342-11351.

[4]Wang B, Xu S*, Deng N.*, Shi H. Clean energy consumption in newly poverty-relieved villages: Limited adaptability to external shocks[J]. Environmental Impact Assessment Review, 2024, 104: 107312.

[5] Shi H, Wang B, Qiu Y, Deng N*, Xie B, Ma S*. The unequal impacts of extremely high temperatures on households’ adaptive behaviors: Empirical evidence from fine-grained electricity consumption data[J]. Energy Policy, 2024, 190: 114170.

[6] Ding, R. X, Yu, C, Chen, S*, Cao, X, & Deng, N*. Can altruistic factors motivate residents’ energy-saving behavior? An application ofstimulus-organism-response theory in China. Journal of Environmental Planning and Management, 2024: 1-21.

[7] Deng N, Wang B, Wang Z. Does targeted poverty alleviation improve households’ adaptation to hot weathers: Evidence from electricityconsumption of poor households[J]. Energy Policy, 2023, 183: 113850.

[8] 王兆华, 刘杰, 王博, 邓娜娜, 聂富华. 融合机器学习与SHAP值算法的居民需求响应个体异质性因素挖掘与应用研究. 系统工程理论与实践, 2024, 44(7): 2247-2259.

[9] Deng N, Wang B, He L, Liu J, Wang Z. Does electricity price reduction bring a sustainable development of business: Evidence from fine-grained industrial electricity consumption data in China[J]. Journal of Environmental Management, 2023, 335: 117522.

[10] Wang B, Yang Z, Pham T L H, Deng N*, Du H. Can social impacts promote residents’ pro-environmental intentions and behaviour: Evidence from large-scale demand response experiment in China[J]. Applied Energy, 2023, 340: 121031.

[11] Deng N, Wang B, Qiu Y, Liu J, Shi H, Zhang B, Wang Z. The discrepancies in the impacts of COVID-19 lockdowns on electricity consumption in China: Is the short-term pain worth it?[J]. Energy Economics, 2022, 114: 106318.

[12] Wang B, Deng N, Li H, Zhao W, Liu J, Wang Z. Effect and mechanism of monetary incentives and moral suasion on residential peak-hour electricity usage[J]. Technological Forecasting and Social Change, 2021, 169: 120792.

[13] Wang B, Deng N, Zhao W, Wang Z. Residential power demand side management optimization based on fine-grained mixed frequency data[J]. Annals of Operations Research, 2022, 316(1): 603-622.

[14] Wang B, Deng N, Liu X, Sun Q, Wang Z. Effect of energy efficiency labels on household appliance choice in China: sustainable consumption or irrational intertemporal choice?[J]. Resources, Conservation and Recycling, 2021, 169: 105458.

[15] Wang Z, Zhao W, Deng N, Zhang B, Wang Z. Mixed data-driven decision-making in demand response management: An empirical evidence from dynamic time-warping based nonparametric-matching DID[J]. Omega, 2021, 100: 102233.


科研项目

[1] 中国自然科学基金青年项目(C类):极端温度下居民电力需求响应:基于多源数据驱动的潜力精准评估与优化调控策略研究

(72504027),2026-2028,主持

[2] 中国博士后科学基金面上项目:居民电力需求响应行为影响机制及效果评估(2023M740236),2024-2025,主持

[3] 国家自然科学基金专项项目:双碳目标下我国“资源-环境-经济”协同发展机制与实现路径研究,2022-2026,参与

[4] 国家自然科学基金专项项目:实现双碳目标的能源系统转型风险传导机制与防范策略研究,2023-2025,参与

[5] 国家自然科学基金创新研究群体项目:资源环境经济协同发展管理,2024-2028,参与


荣誉奖励

2024:北京理工大学优秀博士后

2024: 中国管理科学学会“管理科学奖”学术奖---特等奖

2022: 中国管理科学学会“管理科学奖”专项奖---创新奖