[1] 贾利民,程 鹏,张 蜇,等.“双碳”目标下轨道交通与能源融合发展路径和策略研究[J].中国工程科学,2022,24(3):173-183.
JIA Li-min,CHENG Peng,ZHANG Zhe,et al.Integrated development of rail transit and energies in China:Development paths and strategies[J].Strategic Study of CAE,2022,24(3):173-183.
[2]《中国公路学报》编辑部.中国路面工程学术研究综述·2024[J].中国公路学报,2024,37(3):1-81.
Editorial Department of China Journal of Highway and Transport.Review on China's pavement engineering research:2024[J].China Journal of Highway and Transport,2024,37(3):1-81.
[3]贾利民,师瑞峰,吉 莉,等.我国道路交通与能源融合发展战略研究[J].中国工程科学,2022,24(3):163-172.
JIA Li-min,SHI Rui-feng,JI Li,et al.Road transportation and energy integration strategy in China[J].Strategic Study of CAE,2022,24(3):163-172.
[4]苏小玲,陈来军,赵超凡,等.计及能源自洽率和共享氢储能的电-氢-交通耦合配电网低碳经济运行[J].高电压技术,2024,50(6),2424-2432.
SU Xiao-ling,CHEN Lai-jun,ZAHO Chao-fan,et al.Low carbon economic dispatch for electricity hydrogen transport coupling network considering self-sufficiency and shared hydrogen storage[J].High Voltage Engineering,2024,50(6),2424-2432.
[5]张 丽,林 垚,孙逸帆,等.基于专利计量的公路领域太阳能光伏应用技术发展分析[J].交通运输研究,2022,8(6):108-119.
ZHANG Li,LIN Yao,SUN Yi-fan.Development analysis of solar photovoltaic application technology in road field based on patentometrics[J].Transportation Standardization,2022,8(6):108-119.
[6]王 沛.交通能源融合,促进绿色发展[N].人民日报,2023-08-15(08).
WANG Pei.Integration of transportation and energy to promote green development[N].People's Daily,2023-08-15(08).
[7]沙爱民,孙泽强.新疆高速公路自洽能源系统的应用实践[J].中国公路,2023(21):40.
SHA Ai-min,SUN Ze-qiang.Application of self-consistent energy system in Xinjiang highway[J].China Highway,2023(21):40.
[8]DÍAZ-DORADO E,SUÁREZ-GARCÍA A,CARRILLO C J,et al.Optimal distribution for photovoltaic solartrackers to minimize power losses caused by shadows[J].Renewable Energy,2011,36(6):1826-1835.
[9]JUNG J,HAN S,KIM B.Digital numerical map-oriented estimation of solar energy potential for site selection ofphotovoltaic solar panels on national highway slopes[J].Applied Energy,2019,242:57-68.
[10]KIM B,HAN S,HEO J,et al.Proof-of-concept of a two-stage approach for selecting suitable slopes on ahighway network for solar photovoltaic systems:A case study in South Korea[J].Renewable Energy,2020,151:366-377.
[11]BOIKOVÁM,BILÍK M,MADOLA V,et al.The effect of azimuth and tilt angle changes on the energybalance of photovoltaic system installed in the Southern Slovakia Region[J].Applied Sciences,2021,11(19):8998.
[12]GARDASHOV R,EMINOV M,KARA G,et al.The optimum daily direction of solar panels in the highlands,derived by an analytical method[J].Renewable and Sustainable Energy Reviews,2020,120:109668.
[13]UR REHMAN N,HIJAZI M,UZAIR M.Solar potential assessment of public bus routes for solar buses[J].Renewable Energy,2020,156:193-200.
[14]刘璐瑶.多能互补系统源荷预测及协同运行优化[D].济南:山东大学,2022.
LIU Lu-yao.Power generation forecasting,load forecasting and coordinated optimization of multi-energy systems[D].Jinan:Shandong University,2022.
[15]雷定猷,马 强,徐新平,等.基于非线性主成分分析和GA-RBF的高速公路交通量预测方法[J].交通运输工程学报,2018,18(3):210-217.
LEI Ding-you,MA Qiang,XU Xin-ping,et al.Forecasting method of expressway traffic volume based on NPCA andGA-RBF[J].Journal of Traffic and Transportation Engineering,2018,18(3):210-217.
[16]田 晟,李 嘉.基于GA-tBP模型的城市道路交通量预测[J].科学技术与工程,2023,23(7):3053-3059.
TIAN Sheng,LI Jia.Urban road traffic volume prediction based on GA-tBP model[J].Science Technology and Engineering,2023,23(7):3053-3059.
[17]董 添.基于深度学习的电力负荷模式识别与预测方法研究[D].长春:吉林大学,2022.
DONG Tian.Research on electrical load pattern recognition and load forecasting based on deep learning[D].Changchun:Jilin University,2022.
[18]郭 崇.需求侧响应下的电力负荷预测与供需效益协调优化研究[D].沈阳:沈阳农业大学,2018.
GUO Chong.The research on power load forecasting and supply-demand benefit optimal dispatch considering demand side response[D].Shenyang:Shenyang Agricultural University,2018.
[19]李艳波,尹 镨,陈俊硕,等.结合改进残差网络和Bi-LSTM的短期电力负荷预测[J].哈尔滨工业大学学报,2023,55(8):79-86.
LI Yan-bo,YIN Pu,CHEN Jun-shuo,et al.Short-term power load forecasting based on combination of residual network and Bi-LSTM[J].Journal of Harbin Institute of Technology,2023,55(8):79-86.
[20]郑永康.相空间重构与支持向量机结合的短期负荷预测研究[D].成都:西南交通大学,2008.
ZHENG Yong-kang.Short-term load forecasting based on phase space reconstruction and support vector machine[D].Chengdu:Southwest Jiaotong University,2008.
[21]赵文婷.并网型微电网源荷预测及优化运营管理研究[D].太原:太原理工大学,2021.
ZHAO Wen-ting.Research on power generation forecasting,load forecasting and optimal operation management of grid-connected microgrid[D].Taiyuan:Taiyuan University of Technology,2021.
[22]黄 乾.基于卷积神经网络的短期负荷概率预测方法研究[D].南宁:广西大学,2021.
HUANG Qian.Short-term probabilistic load forecasting based on convolution neural network[D].Nanning:Guangxi University,2021.
[23]韩晓娟,程 成,籍天明,等.计及电池使用寿命的混合储能系统容量优化模型[J].中国电机工程学报,2013,33(34):91-97,16.
HAN Xiao-juan,CHENG Cheng,JI Tian-ming,et al.Capacity optimal modeling of hybrid energy storage systems considering battery life[J].Proceedings of the CSEE,2013,33(34):91-97,16.
[24]KHARE V,NEMA S,BAREDAR P.Solar-wind hybrid renewable energy system:A review[J].Renewable and Sustainable Energy Reviews,2016,58:23-33.
[25]ZHANG X J,CHEN H S,XU Y J,et al.Distributed generation with energy storage systems:A case study[J].Applied Energy,2017,204:1251-1263.
[26]SRIVASTAVA A K,KUMAR A A,SCHULZ N N.Impact of distributed generations with energy storage devices on the electric grid[J].IEEE Systems Journal,2012,6(1):110-117.
[27]LI Y,FENG B,LI G Q,et al.Optimal distributed generation planning in active distribution networks considering integration of energy storage[J].Applied Energy,2018,210:1073-1081.
[28]FARHADI M,MOHAMMED O.Energy storage technologies for high-power applications[J].IEEE Transactions on Industry Applications,2016,52(3):1953-1961.
[29]李红霞,李建林,米 阳.新能源侧储能优化配置技术研究进展[J].储能科学与技术,2022,11(10):3257-3267.
LI Hong-xia,LI Jian-lin,MI Yang.Summary of research on new energy side energy storage optimization configuration technology[J].Energy Storage Science and Technology,2022,11(10):3257-3267.
[30]李相俊,马会萌,姜 倩.新能源侧储能配置技术研究综述[J].中国电力,2022,55(1):13-25.
LI Xiang-jun,MA Hui-meng,JIANG Qian.Review of energy storage configuration technology on renewable energy side[J].Electric Power,2022,55(1):13-25.
[31]曾若辰.城市轨道交通RAMS技术发展与展望[J].施工技术(中英文),2023,52(19):1-9,16.
ZENG Ruo-chen.Development and prospect of RAMS in urban rail transit[J].Construction Technology,2023,52(19):1-9,16.
[32]莫志刚.基于RAMS的地铁信号系统运营维护管理研究[D].武汉:华中科技大学,2018.
MO Zhi-gang.Research on maintenance management of signaling engineering in metro revenue service by RAMS[D].Wuhan:Huazhong University of Science and Technology,2018.
[33]陈 蕾.城市轨道交通引入RAMS管理的必要性[J].城市轨道交通研究,2007,10(5):4-7.
CHEN Lei.The introduction of RAMS management into urban rail transit[J].Urban Mass Transit,2007,10(5):4-7.
[34]康 熊,王卫东,刘金朝.基于RAMS的高速铁路轨道平顺状态综合评价体系研究[J].中国铁道科学,2013,34(2):13-17.
KANG Xiong,WANG Wei-dong,LIU Jin-zhao.Research on comprehensive evaluation system for track irregularity of high-speed railway based on RAMS[J].China Railway Science,2013,34(2):13-17.
[35]杨 媛,吴俊勇,吴 燕.基于可信性理论的电气化铁路牵引供电系统RAMS的模糊评估[J].北京交通大学学报,2008,32(5):89-93.
YANG Yuan,WU Jun-yong,WU Yan.Fuzzy RAMS evaluation of high-speed railway traction power supply system based on uncertainty theory[J].Journal of Beijing Jiaotong University,2008,32(5):89-93.
[36]韩 婧.公交主导型城市交通系统效能评价方法研究[D].南京:东南大学,2017.
HAN Jing.Study on the transit-oriented traffic system efficiency index system[D].Nanjing:Southeast University,2017.
[37]胡 松.城市轨道交通效能评价研究[D],北京:北京交通大学,2015.
HU Song.Research on evaluation of urban rail transit efficiency[D].Beijing:Beijing Jiaotong University,2015.