000			03372cam a2200301zu 4500
001			88965230
003			FRCYB88965230
005			20250429183554.0
006			m o d
007			cr un
008			250429s2022 fr | o|||||0|0|||eng d
020			_a9780443186813
035			_aFRCYB88965230
040			_aFR-PaCSA _ben _c _erda
100	1		_aMöhrlen, Corinna
245	0	1	_aIEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions _c['Möhrlen, Corinna', 'Zack, John W.', 'Giebel, Gregor']
264		1	_bAcademic Press _c2022
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aMöhrlen, Corinna
700	0		_aZack, John W.
700	0		_aGiebel, Gregor
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88965230 _qtext/html _a
520			_aPublished as an Open Access book available on Science Direct, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decades of academic knowledge and standard requirements into applicable procedures and decision support tools for the energy industry. Designed specifically for practitioners in the energy industry, readers will find the tools to maximize the value of renewable energy forecast information in operational decision-making applications and significantly reduce the costs of integrating large amounts of wind and solar generation assets into grid systems through more efficient management of the renewable generation variability. Authored by a group of international experts as part of the IEA Wind Task 36 (Wind Energy Forecasting), the book addresses the issue that many current operational forecast solutions are not properly optimized for their intended applications. It provides detailed guidelines and recommended practices on forecast solution selection processes, designing and executing forecasting benchmarks and trials, forecast solution evaluation, verification, and validation, and meteorological and power data requirements for real-time forecasting applications. In addition, the guidelines integrate probabilistic forecasting, integrate wind and solar forecasting, offer improved IT data exchange and data format standards, and have a dedicated section to dealing with the requirements for SCADA and meteorological measurements. A unique and comprehensive reference, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions is an essential guide for all practitioners involved in wind and solar energy generation forecasting from forecast vendors to end-users of renewable forecasting solutions. - Brings together the decades-long expertise of authors from a range of backgrounds, including universities and government laboratories, commercial forecasters, and operational forecast end-users into a single comprehensive set of practices - Addresses all areas of wind power forecasting, including forecasting methods, measurement selection, setup and data quality control, and the evaluation of forecasting processes related to renewable energy forecasting - Provides purpose-built decision-support tools, process diagrams, and code examples to help readers visualize and navigate the book and support decision-making
999			_c1329664 _d1329664