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Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics

Computers, Materials & Continua 2022年第7期72卷 1017-1033页

作者： Noman Shabbir lauri kütt Muhammad Jawad Oleksandr Husev Ateeq Ur Rehman Akber Abid Gardezi Muhammad Shafiq Jin-Ghoo Choi Department of Electrical Power Engineering&Mechatronics Tallinn University of TechnologyTallinn19086Estonia Department of Electrical and Computer Engineering COMSATS University Islamabad(Lahore Campus)54000Pakistan Department of Electrical Engineering Government College UniversityLahore54000Pakistan Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Wind energy is featured by instability due to a number of factors,such as weather,season,time of the day,climatic area and so on.Furthermore,instability in the generation of wind energy brings new challenges to electric power grids,such as reliability,flexibility,and power quality.This transition requires a plethora of advanced techniques for accurate forecasting of wind energy.In this context,wind energy forecasting is closely tied to machine learning(ML)and deep learning(DL)as emerging technologies to create an intelligent energy management paradigm.This article attempts to address the short-term wind energy forecasting problem in Estonia using a historical wind energy generation data set.Moreover,we taxonomically delve into the state-of-the-art ML and DL algorithms for wind energy forecasting and implement different trending ML and DL algorithms for the day-ahead forecast.For the selection of model parameters,a detailed exploratory data analysis is conducted.All models are trained on a real-time Estonian wind energy generation dataset for the first time with a frequency of 1 h.The main objective of the study is to foster an efficient forecasting technique for Estonia.The comparative analysis of the results indicates that Support Vector Machine(SVM),Non-linear Autoregressive Neural Networks(NAR),and Recurrent Neural Network-Long-Term Short-Term Memory(RNNLSTM)are respectively 10%,25%,and 32%more efficient compared to TSO’s forecasting algorithm.Therefore,RNN-LSTM is the best-suited and computationally effective DL method for wind energy forecasting in Estonia and will serve as a futuristic solution.

关键词： Wind energy production energy forecast machine learning

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Microscopic analysis on eukaryotic algae and cyanobacteria in nine seasonal lakes and ponds in Vestfjella,Dronning Maud Land,Antarctica

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Advances in Polar Science 2024年第2期35卷 206-218页

作者： lauri ARVOLA Matti LEPPÄRANTA LI Zhijun Lammi Biological Station University of HelsinkiLammi FI-16900Finland Department of Physics University of HelsinkiHelsinki FI-00014Finland State key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116023China

Antarctic continental lakes and ponds are among the most impoverished aquatic environments on earth but many of them support flourishing populations of cyanobacteria,eukaryotic algae,protozoans,and some multicellular animals.In this study,we present results of a microscopic analysis of cyanobacteria and eukaryotic algae from nine diverse types of Antarctic continental water bodies during one austral summer.The results supplement and enlarge our previous studies on the limnological characteristics of the epiglacial and supraglacial lakes and ponds in Dronning Maud Land,an area that has received little attention from limnologists.The taxon with highest frequency among the samples(n=79)was Mesotaenium cf.berggrenii,a eukaryotic Zygnematophyceae,which occurred in 82%of the samples with a maximum cell density of 68 cells·mL^(-1).The taxa with second and third highest frequency were the prokaryotes Gloeocapsopsis(60%)and Leptolyngbya(41%),followed by Chlamydomonas(34%)and Cyanothece(29%).The number of taxa varied between 7-21 among the lakes and ponds,being highest in a supraglacial lake,and lowest in an epiglacial lake.The results did not reveal any obvious correlation between the abundance of any taxa and the water chemistry,but water bodies with inorganic sediments had higher cell densities and biomasses than those without sediment.This suggests the importance of sediment in supporting biological diversity in these ultraoligotrophic lakes and ponds.

关键词： Antarctic continental lakes Antarctic continental ponds cyanobacteria algae protozoa rotifers tardigrada

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乌梁素海湖冰完整生消过程的数值模拟

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水科学进展 2024年第1期35卷 145-155页

作者：霍璞真卢鹏解飞王庆凯李志军 ARVOLA lauri 大连理工大学海岸和近海工程国家重点实验室辽宁大连116024 Lammi Biological Station University of HelsinkiHelsinkiFI-16900Finland

为探究气候变暖背景下乌梁素海湖冰的冰厚、冰温和冰物候特征的变化,利用ERA5-Land和MERRA-2再分析数据作为大气强迫场,结合多源卫星遥感反演得到的初始模拟日期,通过一维高分辨率热力学雪冰(HIGHTSI)模型模拟了2015—2016年乌梁素海湖... 详细信息

为探究气候变暖背景下乌梁素海湖冰的冰厚、冰温和冰物候特征的变化,利用ERA5-Land和MERRA-2再分析数据作为大气强迫场,结合多源卫星遥感反演得到的初始模拟日期,通过一维高分辨率热力学雪冰(HIGHTSI)模型模拟了2015—2016年乌梁素海湖冰的完整生消过程。结果显示:①研究期内,最大冰厚达到41.7 cm,初冰日和终冰日分别为2015年11月21日和2016年3月25日,冰期为126 d。②对于水深较浅而冬季日照充足的乌梁素海,气温是影响冰厚的主要因素,太阳辐射次之,两者的昼夜周期循环显著影响冰层的厚度和温度;当冰面有雪覆盖时,积雪的低导热和高反照率会明显削弱气温和太阳辐射对冰层的影响。③即使缺失现场观测数据,采用气象数据和遥感反演的初始模拟日期仍能准确地表征现场真实冰雪的完整演变过程。该研究可为中纬度干旱区季节性冰封浅水湖冰的计算和湖冰生消的年际变化研究奠定基础。

关键词：湖冰完整生消过程再分析数据卫星遥感 HIGHTSI模型乌梁素海

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Single-emitter super-resolved imaging of radiative decay rate enhancement in dielectric gap nanoantennas

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Light(Science & Applications) 2024年第1期13卷 47-54页

作者： R.Margoth Córdova-Castro Bart van Dam Alberto lauri Stefan A.Maier Riccardo Sapienza Yannick De Wilde Ignacio Izeddin Valentina krachmalnicoff Institut Langevin ESPCI ParisPSL UniversityCNRSParisFrance The Blackett Laboratory Department of PhysicsImperial College LondonLondonUK School of Physics and Astronomy Monash UniversityClaytonVictoriaAustralia Chair in Hybrid Nanosystems Ludwig-Maximilians Universität MünchenMuenchenGermany Department of Physics University of OttawaOttawaONCanada

High refractive index dielectric nanoantennas strongly modify the decay rate via the Purcell effect through the design of radiative channels.Due to their dielectric nature,the field is mainly confined inside the nanostructure and in the gap,which is hard to probe with scanning probe techniques.Here we use single-molecule fluorescence lifetime imaging microscopy(smFLIM)to map the decay rate enhancement in dielectric GaP nanoantenna dimers with a median localization precision of 14 nm.We measure,in the gap of the nanoantenna,decay rates that are almost 30 times larger than on a glass substrate.By comparing experimental results with numerical simulations we show that this large enhancement is essentially radiative,contrary to the case of plasmonic nanoantennas,and therefore has great potential for applications such as quantum optics and biosensing.

关键词： dielectric decay radiative

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未来十年,决定中国碳排放的两个关键

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能源 2024年第6期 50-54页

作者： lauri Myllyvirta 亚洲协会政策研究院(Asia Society Policy Institute) 能源与清洁空气研究中心(CREA)

这关系着如何让碳达峰尽可能的低,以便于更好地碳中和。中国温室气体排放占全球排放量的30%。自2015年巴黎协议签署以来,中国的碳排放增长占全球排放增长的90%。中国在未来十年内实现碳达峰并大幅减排,对于全球碳排放下降以及实现巴黎... 详细信息

这关系着如何让碳达峰尽可能的低,以便于更好地碳中和。中国温室气体排放占全球排放量的30%。自2015年巴黎协议签署以来,中国的碳排放增长占全球排放增长的90%。中国在未来十年内实现碳达峰并大幅减排,对于全球碳排放下降以及实现巴黎协定制定的目标至关重要。

关键词：碳排放碳中和巴黎协定温室气体排放巴黎协议未来十年排放量全球

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2023年,清洁能源成为中国经济的主要驱动力

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能源 2024年第2期 73-80页

作者： lauri Myllyvirta Qi Qin 能源与清洁空气研究中心(CREA) 亚洲社会政策研究所(ASPI) 能源与清洁空气研究中心

2023年,清洁能源为中国经济贡献了11.4万亿人民币(约合1.6万亿美元),使得该行业在经济增长中所占比重稳居首位。根据官方数据和行业数据的分析显示,去年中国清洁能源投资大幅增长。“新三样”(即新能源汽车、锂电池和太阳能)成为投资的... 详细信息

2023年,清洁能源为中国经济贡献了11.4万亿人民币(约合1.6万亿美元),使得该行业在经济增长中所占比重稳居首位。根据官方数据和行业数据的分析显示,去年中国清洁能源投资大幅增长。“新三样”(即新能源汽车、锂电池和太阳能)成为投资的主要热点。在分析中,我们采用了广义的“清洁能源”定义,包括可再生能源、核能、电网、储能、新能源汽车和铁路。这些都是中国在生产和能源使用中减少碳排放所需的技术和基础设施。

关键词：新能源汽车可再生能源能源使用清洁能源基础设施官方数据锂电池大幅增长

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Performance of a Markovian neural network versus dynamic programming on a fishing control problem

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Probability, Uncertainty and Quantitative Risk 2023年第1期8卷 121-140页

作者： Mathieu laurière Gilles Pagès Olivier Pironneau NYU Shanghai Shanghai200122China LPMA Sorbonne Université75006ParisFrance LJLL Sorbonne Université75006ParisFrance

Fishing quotas are unpleasant but efficient to control the productivity of a fishing site.A popular model has a stochastic differential equation for the biomass on which a stochastic dynamic programming or a Hamilton-Jacobi-Bellman algorithm can be used to find the stochastic control–the fishing quota.We compare the solutions obtained by dynamic programming against those obtained with a neural network which preserves the Markov property of the solution.The method is extended to a multi species model and shows that the Neural Network is usable in high dimensions.

关键词： Stochastic optimal control Partial differential equations Neural networks Population dynamics

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Selective Laser Melting of Commercially Pure Silicon

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Journal of Wuhan University of Technology(Materials Science) 2022年第6期37卷 1155-1165页

作者：赖周艺 GUO Ting ZHANG Shengting kOLLO lauri AttAR Hooyar 王智 PRASHANTH konda Gokuldoss Sino-German Robotics School Shenzhen Institute of Information TechnologyShenzhen 518172China School of Mechanical and Automotive Engineering South China University of TechnologyGuangzhou 510641China Centre for Advanced Materials Processing and Manufacturing School of Mechanical and Mining EngineeringThe University of QueenslandBrisbaneQueensland 4072Australia Department of Mechanical and Industrial Engineering Tallinn University of TechnologyTallinn 19086Estonia Erich Schmid Institute of Materials Science Austrian Academy of SciencesLeoben A-8700Austria Centre for Biomaterials Cellular and Molecular TheranosticsVellore Institute of TechnologyVelloreTamil Nadu 632014India

Selective laser melting(SLM)or Laser-based powder bed fusion(LBPF)is gaining much attention for the fabrication of novel materials with complex shapes,improved functionalities,and properties.An attempt has been made to fabricate hard and brittle silicon via SLM in the absence of any cracks.Two different powder batches were used,where one of the powder batches has 0.3wt%Fe and the other batch with 0.02wt%Fe.The parameter optimization process shows that the SLM Si samples were successfully fabricated from the powders with the minor addition of Fe.The deliberate addition of Fe facilitates heterogeneous nucleation of Si and aids in absorbing the laser energy beam more efficiently.SLM Si samples with 98.5%theoretical density were fabricated with a hardness of around 10.65±40 GPa.The experimental results show that SLM can successfully fabricate Si without cracks and with near theoretical density(of 99%)and complex shapes,which opens their use in wider industrial applications.

关键词： additive manufacturing selective laser melting silicon heterogeneous nucleation

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Why on the snow？ Winter emergence strategies of snow-active Chironomidae （Diptera） in Poland

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Insect Science 2016年第5期23卷 754-770页

作者： Agnieszka Soszynska-Maj lauri Paasivirta Wojciech Gilka Faculty of Biology and Environmental Protection Department of Invertebrate Zoology and Hydrobiology University of Lodz Banacha 12116 90-237 Lodz Poland Ruuhikoskenkatu 17 B 5 FIN-24240 Salo Finland Department of Invertebrate Zoology and Parasito- logy University of Gdansk Wita Stwosza 59 80-308 Gdansk Poland

A long-term study of adult non-biting midges （Chironomidae） active in winter on the snow in mountain areas and lowlands in Poland yielded 35 species. The lowland and mountain communities differed significantly in their specific composition. The mountain assemblage was found to be more diverse and abundant, with a substantial contribution from the subfamily Diamesinae, whereas Orthocladiinae predominated in the lowlands. Orthocladius wetterensis Brundin was the most characteristic and superdominant species in the winter-active chironomid communities in both areas. Only a few specimens and species of snow-active chironomids were recorded in late autumn and early winter. The abundance ofchironomids peaked in late February in the mountain and lowland areas with an additional peak in the mountain areas in early April. However, this second peak of activity consisted mainly of Orthocladiinae, as Diamesinae emerged earliest in the season. Most snow-active species emerged in mid- and late winter, but their seasonal patterns differed between the 2 regions as a result of the different species composition and the duration of snow cover in these regions. Spearman＇s rank correlation coefficient tests yielded positive results between each season and the number of chironomid individuals recorded in the mountain area. A positive correlation between air temperature, rising to ＋3.5 ~C, and the number of specimens recorded on the snow in the mountain community was statistically significant. The winter emergence and mate-searching strategies of chironomids are discussed in the light of global warming, and a brief compilation of most important published data on the phenomena studied is provided.

关键词： Chironomidae Diamesinae Diptera Orthocladiinae snow activity weather influence winter emergence

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An integrated assessment approach to optimal forest bioenergy production for young Scots pine stands

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Forest Ecosystems 2015年第3期2卷 220-229页

作者： Tianjian Cao kari Hyytiainen Henna Hurttala lauri Valsta Jerome k.Vanclay College of Forestry Northwest A&F University Department of Economics and Management University of Helsinki Department of Forest Sciences Forest Research Centre Southern Cross University

Background: Bioenergy is re-shaping opportunities and imperatives of forest management. This study demonstrates,through a case study in Scots pine(Pinus sylvestris L.), how forest bioenergy policies affect stand management strategies.Methods: Optimization studies were examined for 15 Scots pine stands of different initial stand densities, site types, and temperature sum regions in Finland. Stand development was model ed using the Pipe Qual stand simulator coupled with the simulation-optimization tool Opti For Bioenergy to assess three forest bioenergy policies on energy wood harvest from early thinnings.Results: The optimal solutions maximizing bare land value indicate that conventional forest management regimes remain optimal for sparse stands. Energy harvests occurred only when profitable, led to lower financial returns. A forest bioenergy policy which included compulsory energy wood harvesting was optimal for denser stands. At a higher interest rate(4 %), increasing energy wood price postponed energy wood harvesting. In addition, our results show that early thinning somewhat reduced wood quality for stands in fertile sites. For less fertile sites, the changes were insignificant.Conclusions: A constraint of profitable energy wood harvest is not rational. It is optimal to carry out the first thinning with a flexible forest bioenergy policy depending on stand density.

关键词： Energy wood Policy design Precommercial thinning Scots pine Simulation-optimization

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