000 | 02225nla2a2200445 4500 | ||
---|---|---|---|
001 | 657823 | ||
005 | 20231030041527.0 | ||
035 | _a(RuTPU)RU\TPU\network\24607 | ||
035 | _aRU\TPU\network\24605 | ||
090 | _a657823 | ||
100 | _a20180323a2018 k y0engy50 ba | ||
101 | 0 | _aeng | |
105 | _ay z 100zy | ||
135 | _adrcn ---uucaa | ||
181 | 0 | _ai | |
182 | 0 | _ab | |
200 | 1 |
_aShort-Term Forecasting of Electric Energy Generation for a Photovoltaic System _fV. T. Dinh, Yuhao Yan |
|
203 |
_aText _celectronic |
||
210 | _d2018 | ||
300 | _aTitle screen | ||
320 | _a[References: 5 tit.] | ||
330 | _aThis article presents a short-term forecast of electric energy output of a photovoltaic (PV) system towards Tomsk city, Russia climate variations (module temperature and solar irradiance). The system is located at Institute of Non-destructive Testing, Tomsk Polytechnic University. The obtained results show good agreement between actual data and prediction values. | ||
461 | 0 |
_0(RuTPU)RU\TPU\network\4526 _tMATEC Web of Conferences |
|
463 | 0 |
_0(RuTPU)RU\TPU\network\24598 _tVol. 155 : Information and Measuring Equipment and Technologies (IME&T 2017) _oVIII International Scientific and Practical Conference, November 22-25, 2017, Tomsk, Russia _o[proceedings] _fNational Research Tomsk Polytechnic University (TPU) ; eds. E. Siemens [et al.] _v[01033, 6 p.] _d2018 |
|
610 | 1 | _aэлектронный ресурс | |
610 | 1 | _aтруды учёных ТПУ | |
610 | 1 | _aкраткосрочное прогнозирование | |
610 | 1 | _aпроизводство | |
610 | 1 | _aэлектроэнергия | |
610 | 1 | _aфотоэлектрические системы | |
610 | 1 | _aсолнечная радиация | |
610 | 1 | _aэлектрическая энергия | |
610 | 1 | _aвозобновляемые источники энергии | |
700 | 1 |
_aDinh _bV. T. |
|
701 | 0 | _aYuhao Yan | |
712 | 0 | 2 |
_aNational Research Tomsk Polytechnic University (TPU) _2stltpush _3(RuTPU)RU\TPU\col\18773 |
801 | 2 |
_aRU _b63413507 _c20181022 _gRCR |
|
856 | 4 | _uhttps://doi.org/10.1051/matecconf/201815501033 | |
856 | 4 | _uhttp://earchive.tpu.ru/handle/11683/46993 | |
942 | _cCF |