| [1] | 周天军, 陈晓龙, 张文霞, 等. 气候变化与碳中和 [J]. 自然杂志, 2024, 46(1): 1-11. DOI: 10.3969/j.issn.0253-9608.2024.01.001. ZHOU T J, CHEN X L, ZHANG W X, et al. Climate change and carbon neutrality [J]. Chinese journal of nature, 2024, 46(1): 1-11. DOI: 10.3969/j.issn.0253-9608.2024.01.001. |
| [2] | 王洁, 曲晓黎, 尤琦, 等. 夏季日峰降温电力负荷预测灰色模型及其应用 [J]. 气象, 2024, 50(1): 95-102. DOI: 10.7519/j.issn.1000-0526.2023.050603. WANG J, QU X L, YOU Q, et al. A grey model for power load prediction of summer peak cooling and its application [J]. Meteorological monthly, 2024, 50(1): 95-102. DOI: 10.7519/j.issn.1000-0526.2023.050603. |
| [3] | 付桂琴, 尤凤春, 曹欣, 等. 积温效应在电力日峰谷负荷中的应用及检验 [J]. 应用气象学报, 2015, 26(4): 492-499. DOI: 10.11898/1001-7313.20150411. FU G Q, YOU F C, CAO X, et al. Application and verification of accumulated temperature effects on daily peak load and daily valley load of power [J]. Journal of applied meteorological science, 2015, 26(4): 492-499. DOI: 10.11898/1001-7313.20150411. |
| [4] | 陈正洪, 洪斌. 华中电网四省日用电量与气温关系的评估 [J]. 地理学报, 2000, 55(增刊1): 34-38. DOI: 10.11821/xb2000S1006. CHEN Z H, HONG B. Relationship between daily energy consumption and temperature in central China [J]. Acta geographica sinica, 2000, 55(Supp.1): 34-38. DOI: 10.11821/xb2000S1006. |
| [5] | ZHANG S H, GUO Q X, SMYTH R, et al. Extreme temperatures and residential electricity consumption: evidence from Chinese households [J]. Energy economics, 2022, 107: 105890. DOI: 10.1016/j.eneco.2022.105890. |
| [6] | JOVANOVIĆ S, SAVIĆ S, BOJIĆ M, et al. The impact of the mean daily air temperature change on electricity consumption [J]. Energy, 2015, 88: 604-609. DOI: 10.1016/j.energy.2015.06.001. |
| [7] | 任永建, 熊守权, 洪国平, 等. 气象因子对夏季最大电力负荷的敏感性分析 [J]. 气象, 2020, 46(9): 1245-1253. DOI: 10.7519/j.issn.1000-0526.2020.09.011. REN Y J, XIONG S Q, HONG G P, et al. Sensitivity analysis of meteorological factors to summer maximum power load [J]. Meteorological monthly, 2020, 46(9): 1245-1253. DOI: 10.7519/j.issn.1000-0526.2020.09.011. |
| [8] | 王治华, 杨晓梅, 李扬, 等. 气温与典型季节电力负荷关系的研究 [J]. 电力自动化设备, 2002, 22(3): 16-18. DOI: 10.3969/j.issn.1006-6047.2002.03.005. WANG Z H, YANG X M, LI Y, et al. Study on relationship between temperature and electrical loads in typical seasons [J]. Electric power automation equipment, 2002, 22(3): 16-18. DOI: 10.3969/j.issn.1006-6047.2002.03.005. |
| [9] | 刘静, 王丽娟, 成丹, 等. 武汉市电力负荷特征及其与气象因子的关系 [J]. 暴雨灾害, 2023, 42(2): 232-240. DOI: 10.12406/byzh.2023-022. LIU J, WANG L J, CHENG D, et al. Characteristics of power load in Wuhan and its relationship with meteorological factors [J]. Torrential rain and disasters, 2023, 42(2): 232-240. DOI: 10.12406/byzh.2023-022. |
| [10] | 廖春花, 罗潇, 谢睿恒, 等. 基于气象因子的长沙市日最大电力负荷预测对比研究 [J]. 自然灾害学报, 2023, 32(1): 183-190. DOI: 10.13577/j.jnd.2023.0120. LIAO C H, LUO X, XIE R H, et al. Comparative study on the forecast of the maximum daily electric load in Changsha city based on meteorological factors [J]. Journal of natural disasters, 2023, 32(1): 183-190. DOI: 10.13577/j.jnd.2023.0120. |
| [11] | 李明节, 梁志峰, 许涛, 等. 基于敏感气温空间分布的度夏度冬日最大负荷预测与应用研究 [J]. 电网技术, 2023, 47(3): 1088-1097. DOI: 10.13335/j.1000-3673.pst.2022.2144. LI M J, LIANG Z F, XU T, et al. Prediction and application of maximum daily load in summer and winter based on spatial distribution of sensitive temperatures [J]. Power system technology, 2023, 47(3): 1088-1097. DOI: 10.13335/j.1000-3673.pst.2022.2144. |
| [12] | 高红均, 郭明浩, 刘俊勇, 等. 从四川高温干旱限电事件看新型电力系统保供挑战与应对展望 [J]. 中国电机工程学报, 2023, 43(12): 4517-4537. DOI: 10.13334/j.0258-8013.pcsee.222971. GAO H J, GUO M H, LIU J Y, et al. Power supply challenges and prospects in new power system from Sichuan electricity curtailment events caused by high-temperature drought weather [J]. Proceedings of the CSEE, 2023, 43(12): 4517-4537. DOI: 10.13334/j.0258-8013.pcsee.222971. |
| [13] | 肖声玲. 计及高温天气的短期负荷预测及优化调度策略研究 [D]. 保定: 华北电力大学, 2021. DOI: 10.27139/d.cnki.ghbdu.2021.000527. XIAO S L. Research on optimal dispatching strategy of power system considering high-temperature weather [D]. Baoding: North China Electric Power University, 2021. DOI: 10.27139/d.cnki.ghbdu.2021.000527. |
| [14] | 郭崇兰. 杭州市极端气象因子与工业电力消费关联研究 [D]. 南京: 南京信息工程大学, 2014. GUO C L. On the incidence relation between the extreme meteorological factors and industrial power consumption in Hangzhou city [D]. Nanjing: Nanjing University of Information Science & Technology, 2014. |
| [15] | 陈圣劼, 田心如, 姚阮, 等. 基于气象因子的南京市冬季和夏季用电量预测研究 [J]. 气象与环境学报, 2022, 38(4): 127-135. DOI: 10.3969/j.issn.1673-503X.2022.04.015. CHEN S J, TIAN X R, YAO R, et al. Forecast of electricity consumption in Nanjing based on meteorological factors in winter and summer [J]. Journal of meteorology and environment, 2022, 38(4): 127-135. DOI: 10.3969/j.issn.1673-503X.2022.04.015. |
| [16] | PARDO A, MENEU V, VALOR E. Temperature and seasonality influences on Spanish electricity load [J]. Energy economics, 2002, 24(1): 55-70. DOI: 10.1016/s0140-9883(01)00082-2. |
| [17] | 魏朋邦. 电力部门应对气候变化机制与策略研究 [D]. 天津: 天津大学, 2021. DOI: 10.27356/d.cnki.gtjdu.2021.000508. WEI P B. Research on mechanisms and strategies of electricity sector to deal with climate change [D]. Tianjin: Tianjin University, 2021. DOI: 10.27356/d.cnki.gtjdu.2021.000508. |
| [18] | 段凯旋. 气候变化对我国城市居民电力消费的影响及其国际比较 [D]. 长沙: 湖南大学, 2020. DOI: 10.27135/d.cnki.ghudu.2020.004528. DUAN K X. Impact of climate change on electricity consumption of urban residents in China and its international Comparison [D]. Changsha: Hunan University, 2020. DOI: 10.27135/d.cnki.ghudu.2020.004528. |
| [19] | 王丽娟, 任永建, 王俊超, 等. 基于气象因素的长江经济带湖北段夏季日最大电力负荷预测 [J]. 南方能源建设, 2024, 11(1): 133-142. DOI: 10.16516/j.ceec.2024.1.14. WANG L J, REN Y J, WANG J C, et al. Prediction of summer daily maximum power load in the Hubei section of the Yangtze River economic belt based on meteorological factors [J]. Southern energy construction, 2024, 11(1): 133-142. DOI: 10.16516/j.ceec.2024.1.14. |
| [20] | WENZ L, LEVERMANN A, AUFFHAMMER M. North-south polarization of European electricity consumption under future warming [J]. Proceedings of the national academy of sciences of the United States of America, 2017, 114(38): E7910-E7918. DOI: 10.1073/pnas.1704339114. |
| [21] | LI Y T, PIZER W A, WU L B. Climate change and residential electricity consumption in the Yangtze River Delta, China [J]. Proceedings of the national academy of sciences of the United States of America, 2019, 116(2): 472-477. DOI: 10.1073/pnas.1804667115. |
| [22] | 国家市场监督管理总局, 国家标准化管理委员会. 用电需求气象条件等级: GB/T 40242—2021 [S]. 北京: 中国标准出版社, 2021. State Administration for Market Regulation, National Standardization Administration. Meteorological grades for power consuming: GB/T 40242—2021 [S]. Beijing: Standards Press of China, 2021. |
| [23] | 阎访, 陈静, 车少静. 石家庄夏季用电量对天气的响应及其预测模型 [J]. 干旱气象, 2009, 27(3): 282-287. DOI: 10.3969/j.issn.1006-7639.2009.03.014. YAN F, CHEN J, CHE S J. Response of electric power load to weather in summer of Shijiazhuang and its prediction model [J]. Journal of arid meteorology, 2009, 27(3): 282-287. DOI: 10.3969/j.issn.1006-7639.2009.03.014. |
| [24] | 郭崇兰, 徐晓霞, 巩在武. 杭州市气象因子与气象电量的灰色关联分析 [C]//中国高等科学技术中心. 第25届全国灰色系统会议论文集, 北京, 2014-04-22. 北京: 中国高等科学技术中心, 2014: 8. GUO C L, XU X X, GONG Z W. Correlation analysis on meteorological factors and industrial meteorological electricity consumption of Hangzhou city [C]//China Center of Advanced Science and Technology. Proceedings of the 25th National Grey System Conference, Beijing, April 22, 2014. Beijing: China Center of Advanced Science and Technology, 2014: 8. |
| [25] | 李湘阁, 胡凝. 实用气象统计方法 [M]. 北京: 气象出版社, 2015. LI X G, HU N. Practical meteorological statistical methods [M]. Beijing: China Meteorological Press, 2015. |