Wind power short-term forecasting system

Dica, C.; Vasiliu, Daniela; Comanescu, G.; Ungureanu, Maria-Christina

doi:10.1109/ptc.2009.5281941

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…222 The author states that before the post-passion glorification of Jesus' flesh, the Holy Spirit had not yet come (Οὔπω ἦν Πνεὺμα ἄγιον). 223 In this way, the Spirit of adoption was not yet among humanity, since the 'first-fruit' from 218 GNO IX/1.224.2-5; NPNF II/5.519.…”

Section: Introductionmentioning

confidence: 99%

“…224 Later, the author refers to 'the Spirit of our Father' in relation to humanity's adoption as sons of God. 225 The incarnation of Christ is essential to this adoption, and it is through Christ's becoming a 'perfect man' that human beings become united by the Spirit and thus become one Spirit (οἱ ἄνθρωποι ἐνωθέντες Πνεύματι, γένωνται ἓν Πνεῦμα) (cf. 1 Cor.…”

Section: Introductionmentioning

confidence: 99%

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Christ, the Spirit, and Human Transformation in Gregory of Nyssa's In Canticum Canticorum

Abecina

2023

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This book undertakes a literary and theological analysis of Gregory of Nyssa’s theology of union with God, culminating in a fresh reading of his final written work, In Canticum Canticorum. Part I provides the necessary background for the study of In Canticum Canticorum by analysing several of Gregory’s earlier works (c. 370 – 385), tracing the main contours of his account of the objective reality of human transformation and union with God. Part II uses the findings of Part I to guide and structure the analysis of In Canticum Canticorum (c. 391). Gregory’s allegorical interpretation of the Song of Songs is found to represent a corresponding account of human transformation and union with God from the perspective of subjective, affective experience of this reality. Rather than marking a new development in his theology, the subjective experience gained by Gregory’s reading of the Song of Songs recapitulates the key elements of Gregory’s objective account and therefore renders coherent his earlier soteriological doctrine.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Christ, the Spirit, and Human Transformation in Gregory of Nyssa's In Canticum Canticorum

Abecina

2023

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“…European transmission and distribution operators (in Germany, Denmark, Spain, Dutch, Ireland, Greece, Italy) accumulated already over 15 years of experience with different wind prediction tools, and USA and Australia are developing their approaches as well [2] - [8]. The developments concentrated primarily on the improvement of prediction accuracy at wind farms level.…”

Section: Introductionmentioning

confidence: 99%

Analysis of reliability aspects of wind power generation in Romania using Markov models

Dumbrava¹,

Ulmeanu²,

Scutariu³

et al. 2011

IET Conference on Renewable Power Generation (RPG 2011)

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Wind power has some characteristics that affect its integration into power systems: variability, unreliable accuracy of the output prediction, and the remote insertion into the network. A critical issue facing the integration of the wind power production is the reliable prediction of its contribution to meet the system's load demand. The authors propose to use tools specific for the reliability analysis of the systems, assuming discrete-time Markov processes, with a view to determine reliability index-type of characteristics for the wind power production.

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“…Tahun 2006, R.R.R de Aquaimo menggunakan a hybrid intelligent system [13]. Tahun 2009, Dica menggunakan short-term forecasting of wind power [14]. Tahun 2009, Cameron menggunakan Smarter smart grid.…”

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Aplikasi Algoritma Feed Forward Backpropagation Untuk Beban Listrik Hari Libur Pada Tipe Beban Anomali

Faridah

Risnandar²,

Taufiqurrahman³

et al. 2020

JEEE

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Load pattern for holiday have significant differenct from weekday day, so that require special prediction. This research have purpose to test the performance feed forward backpropagation to know accuracy level of load forecasting for holiday anomalous load. Learning algorithm used feed forward backpropagation from artificial neural network with matlab. Load forecasting optimization is change learning rate and some of learning input. The reasult of this reasult showed learning input give best reasult on mean but difference from that value is small, so learning rate variation small affected at learning

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Wind power short-term forecasting system

Cited by 5 publications

References 1 publication

Christ, the Spirit, and Human Transformation in Gregory of Nyssa's In Canticum Canticorum

Christ, the Spirit, and Human Transformation in Gregory of Nyssa's In Canticum Canticorum

Analysis of reliability aspects of wind power generation in Romania using Markov models

Aplikasi Algoritma Feed Forward Backpropagation Untuk Beban Listrik Hari Libur Pada Tipe Beban Anomali

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