1太陽(yáng)能制氫關(guān)鍵技術(shù)研究
https://www.tynxb.org.cn/CN/10.19912/j.0254-0096.tynxb.2022-0037
[中文]李建林,梁忠豪,李光輝,等.太陽(yáng)能制氫關(guān)鍵技術(shù)研究[J].太陽(yáng)能學(xué)報(bào),2022,43(03):2-11.
[英文]LI J L ,LIANG Z H ,LI G H,et al.Analysis of key technologies for solar hydrogen production. [J]. Acta energiae solaris sinica.2022, 43(03):2-11.

2基于CNN-Bi-LSTM的太陽(yáng)輻照度超短期預(yù)測(cè)
https://www.tynxb.org.cn/CN/10.19912/j.0254-0096.tynxb.2020-0581
[中文]倪超,王聰,朱婷婷,等.基于CNN-Bi-LSTM的太陽(yáng)輻照度超短期預(yù)測(cè)[J].太陽(yáng)能學(xué)報(bào),2022,43(03):197-202.
[英文]NI C,WANG C ,ZHU T T ,et al.Super-short-term forecast of solar irradiance based on CNN-Bi-lSTM. [J]. Acta energiae solaris sinica.2022, 43(03):197-202.

3基于改進(jìn)灰狼算法的獨(dú)立微電網(wǎng)容量?jī)?yōu)化配置
https://www.tynxb.org.cn/CN/Y2022/V43/I1/256
[中文]趙超,王斌,孫志新,等.基于改進(jìn)灰狼算法的獨(dú)立微電網(wǎng)容量?jī)?yōu)化配置[J].太陽(yáng)能學(xué)報(bào),2022,43(01):256-262.
[英文]ZHAO C, WANG B ,SUN Z X ,et al.Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm.[J]. Acta energiae solaris sinica.2022, 43(01):256-262.

4基于蟻獅算法的風(fēng)電集群儲(chǔ)能容量配置優(yōu)化方法
https://www.tynxb.org.cn/CN/Y2021/V42/I1/431
[中文]劉穎明,王瑛瑋,王曉東,等.基于蟻獅算法的風(fēng)電集群儲(chǔ)能容量配置優(yōu)化方法[J].太陽(yáng)能學(xué)報(bào),2021,42(01):431-437.
[英文]LIU Y M, WANG Y W,WANG X D,et al.Optimization of storage capacity allocation in wind farm cluster based on ant lion optimization algorithm.[J]. Acta energiae solaris sinica.2021, 42(01):431-437.

5基于EMD-PCA-LSTM的光伏功率預(yù)測(cè)模型
https://www.tynxb.org.cn/CN/Y2021/V42/I9/62
[中文]張雲(yún)欽,程起澤,蔣文杰,等.基于EMD-PCA-LSTM的光伏功率預(yù)測(cè)模型[J].太陽(yáng)能學(xué)報(bào),2021,42(09):62-69.
[英文] ZHANG Y Q,CHEN Q Z,JIANG W J ,et al.Photovoltaic power prediction model based on EMD-PCA-LSTM.[J]. Acta energiae solaris sinica.2021, 42(09):62-69.

6基于多種群遺傳算法的分布式光伏接入配電網(wǎng)規(guī)劃研究
https://www.tynxb.org.cn/CN/Y2021/V42/I6/146
[中文]劉科研,盛萬(wàn)興,馬曉晨,等.基于多種群遺傳算法的分布式光伏接入配電網(wǎng)規(guī)劃研究[J].太陽(yáng)能學(xué)報(bào),2021,42(06):146-155.
[英文]LIU K Y,SHENG W X ,MA X C ,et al.Planning research of distributed photovoltaic source access distribution network based on multi-population genetic algorithm.[J]. Acta energiae solaris sinica.2021,42(06):146-155.

7基于改進(jìn)量子粒子群算法的光伏多峰MPPT研究
https://www.tynxb.org.cn/CN/Y2021/V42/I5/221
[中文]李志軍,張奕楠,王麗娟,等.基于改進(jìn)量子粒子群算法的光伏多峰MPPT研究[J].太陽(yáng)能學(xué)報(bào),2021,42(05):221-229.
[英文]LI Z J ,ZHANG Y N ,WANG L J ,et al.Study of photovoltaic multimodal maximum power point tracking baced on improved quantum particle swarm optmization.[J]. Acta energiae solaris sinica.2021, 42(05):221-229.

8基于長(zhǎng)短時(shí)記憶網(wǎng)絡(luò)的超短期風(fēng)功率預(yù)測(cè)模型
https://www.tynxb.org.cn/CN/Y2021/V42/I10/275
[中文]張群,唐振浩,王恭,等.基于長(zhǎng)短時(shí)記憶網(wǎng)絡(luò)的超短期風(fēng)功率預(yù)測(cè)模型[J].太陽(yáng)能學(xué)報(bào),2021,42(10):275-281.
[英文]ZHANG Q,TANG Z H,WANG G,et al.Ultra-short-term wind power prediction model based on long and short term memory network.[J]. Acta energiae solaris sinica.2021, 42(10):275-281.

9考慮時(shí)間尺度的配電網(wǎng)故障恢復(fù)方法研究
https://www.tynxb.org.cn/CN/Y2021/V42/I1/453
[中文]楊麗君,高鵬,王偉浩,等.考慮時(shí)間尺度的配電網(wǎng)故障恢復(fù)方法研究[J].太陽(yáng)能學(xué)報(bào),2021,42(01):453-459.
[英文]YANG L J,GAO P,WANG W H,et al.Research on fault recovery method considering time scale for distribution network.[J]. Acta energiae solaris sinica.2021, 42(01):453-459.

10中國(guó)風(fēng)能資源氣候特征和開(kāi)發(fā)潛力研究
https://www.tynxb.org.cn/CN/Y2021/V42/I6/409
[中文]朱蓉,王陽(yáng),向洋,等.中國(guó)風(fēng)能資源氣候特征和開(kāi)發(fā)潛力研究[J].太陽(yáng)能學(xué)報(bào),2021,42(06):409-418.
[英文]ZHU R,WANG Y,XIANG Y,et al.Stydy on climate characteristics and development potential of wind energy resources in China.[J]. Acta energiae solaris sinica.2021, 42(06):409-418.

11基于EEMD-ACS-LSSVM的短期風(fēng)電功率預(yù)測(cè)
https://www.tynxb.org.cn/CN/Y2020/V41/I5/77
[中文]姜貴敏,陳志軍,李笑竹,等.基于EEMD-ACS-LSSVM的短期風(fēng)電功率預(yù)測(cè)[J].太陽(yáng)能學(xué)報(bào),2020,41(05):77-84.
[英文]JIANG G M,CHEN Z J ,LI X Z,et al.Short-term prediction of wind power based on EEMD-ACS-LSSVM.[J]. Acta energiae solaris sinica.2020, 41(05):77-84.

12基于MIV分析的GA-BP神經(jīng)網(wǎng)絡(luò)光伏短期發(fā)電預(yù)測(cè)
https://www.tynxb.org.cn/CN/Y2020/V41/I8/236
[中文]王英立,陶帥,候曉曉,等.基于MIV分析的GA-BP神經(jīng)網(wǎng)絡(luò)光伏短期發(fā)電預(yù)測(cè)[J].太陽(yáng)能學(xué)報(bào),2020,41(08):236-242.
[英文]WANG Y L,TAO S ,HOU X X,et al.GA-BP neural network photovoltaic power generation short-term forecast based on MIV analysis.[J]. Acta energiae solaris sinica.2020,41(08):236-242.
13基于地基云圖的云跟蹤與太陽(yáng)輻照度超短期預(yù)報(bào)方法研究
https://www.tynxb.org.cn/CN/Y2020/V41/I5/351
[中文]蔣俊霞,高曉清,呂清泉,等.基于地基云圖的云跟蹤與太陽(yáng)輻照度超短期預(yù)報(bào)方法研究[J].太陽(yáng)能學(xué)報(bào),2020,41(05):351-358.
[英文]JIANG J X ,GAO X Q ,LYU Q Q ,et al.Study on cloud tracking and solar irradiance ultra-short-term forecasting based on TSI images.[J]. Acta energiae solaris sinica.2020,41(05):351-358.

14基于紅外熱圖像處理的光伏陣列熱斑檢測(cè)方法
https://www.tynxb.org.cn/CN/Y2020/V41/I8/180
[中文]蔣琳,蘇建徽,施永,等.基于紅外熱圖像處理的光伏陣列熱斑檢測(cè)方法[J].太陽(yáng)能學(xué)報(bào),2020,41(08):180-184.
[英文]JIANG L,SU J H ,SHI Y,et al.Hot spots detection of operating PV arrays through IR thermal image.[J]. Acta energiae solaris sinica.2020,41(08):180-184.

15基于太陽(yáng)能利用的相變蓄熱水箱結(jié)構(gòu)優(yōu)化
https://www.tynxb.org.cn/CN/Y2020/V41/I2/217
[中文]李安桂,史丙金,張婉卿,等.基于太陽(yáng)能利用的相變蓄熱水箱結(jié)構(gòu)優(yōu)化[J].太陽(yáng)能學(xué)報(bào),2020,41(02):217-224.
[英文]LI A G,SHI B J ,ZHANG W Q ,et al.Structure optimization of phase change thermal storage water tank based on solar energy utilization.[J]. Acta energiae solaris sinica.2020, 41(02):217-224.

16基于遺傳算法的直流配電網(wǎng)線(xiàn)路故障定位方法
https://www.tynxb.org.cn/CN/Y2020/V41/I12/1
[中文]徐巖,劉婧妍,張?jiān)姾?/span>,等.基于遺傳算法的直流配電網(wǎng)線(xiàn)路故障定位方法[J].太陽(yáng)能學(xué)報(bào),2020,41(12):1-8.
[英文]XU Y,LIU J YAN,ZHANG SH,et al.Fault location method based on genetic algorithm for DC distribution network.[J]. Acta energiae solaris sinica.2020, 41(12):1-8.

17一種雙饋風(fēng)電組一次調(diào)頻協(xié)調(diào)控制策略研究
https://www.tynxb.org.cn/CN/Y2020/V41/I2/101
[中文]李少林,秦世耀,王瑞明,等.一種雙饋風(fēng)電機(jī)組一次調(diào)頻協(xié)調(diào)控制策略研究[J].太陽(yáng)能學(xué)報(bào),2020,41(02):101-109.
[英文]LI S L,QIN S Y ,WANG R M ,et al.A collaborative control of primary frequency regulation for DFIG-WT.[J]. Acta energiae solaris sinica.2020, 41(02):101-109.

18 100kw鷹式波浪能發(fā)電裝置"萬(wàn)山號(hào)"實(shí)海況測(cè)驗(yàn)
https://www.tynxb.org.cn/CN/Y2019/V40/I3/709
[中文]盛松偉,王坤林,吝紅軍,等.100 kW鷹式波浪能發(fā)電裝置“萬(wàn)山號(hào)”實(shí)海況試驗(yàn)[J].太陽(yáng)能學(xué)報(bào),2019,40(03):709-714.
[英文]SHENG S W,WANG K L,LIN H J,et al.Open sea tests of 100 kW wave energy convertor Sharp Eagle WANSHAN.[J]. Acta energiae solaris sinica.2019, 40(03):709-714.

19面向風(fēng)電平抑的混合儲(chǔ)能系統(tǒng)容量配置方法
https://www.tynxb.org.cn/CN/Y2019/V40/I3/593
[中文]丁明,吳杰,張晶晶.面向風(fēng)電平抑的混合儲(chǔ)能系統(tǒng)容量配置方法[J].太陽(yáng)能學(xué)報(bào),2019,40(03):593-599.
[英文]DING M, WU J, ZHANG J J.Capacity optimization method of hybrid energy storage system for wind power smoothing.[J]. Acta energiae solaris sinica.2019, 40(03):593-599.
