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_223 _a621.042015196 |
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_aForecasting methods for renewable power generation / _cedited by Jai Govind Singh, Rupendra Kumar Pachauri, and Sasidharan Sreeedharan. |
| 264 | 1 |
_aHoboken, NJ : _bJohn Wiley & Sons, Inc. ; _aBeverly, MA : _bScrivener Publishing LLC, _c2025. |
|
| 264 | 4 | _c©2025 | |
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 520 | _aForecasting Methods for Renewable Power Generation is an essential resource for both professionals and students, providing in-depth insights into vital forecasting techniques that enhance grid stability, optimize resource management, and enable effective electricity pricing strategies. It is a must-have reference for anyone involved in the clean energy sector. Forecasting techniques in renewable power generation, demand response, and electricity pricing are vital for grid stability, optimal resource allocation, efficient energy management, and cost-effective electricity supply. They enable grid operators and market participants to make informed decisions, mitigate risks, and enhance the overall reliability and sustainability of the electrical grid. Electricity prices can vary significantly based on supply and demand dynamics. By forecasting expected demand and the availability of generation resources, market operators can optimize electricity pricing strategies. This alignment of prices with anticipated supply-demand balance incentivizes the efficient use of electricity and promotes market efficiency. Accurate forecasting helps prevent price spikes, reduces market uncertainties, and supports the development of effective energy trading strategies. This book presents these topics and trends in an encyclopedic format, serving as a go-to reference for engineers, scientists, or students interested in the subject. The book is divided into three easy-to-navigate sections that thoroughly examine the AI and machine learning-based algorithms and pseudocode considered in this study. This is the most comprehensive and up-to-date encyclopedia of forecasting in renewable power generation, demand response, and electricity pricing ever written, and is a must-have for any library. | ||
| 588 | _aDescription based on online resource; title from digital title page (viewed on March 28, 2025). | ||
| 650 | 0 |
_aRenewable energy sources _xForecasting. |
|
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aSingh, Jai Govind, _eeditor. |
|
| 700 | 1 |
_aPachauri, Rupendra Kumar, _eeditor. _1https://id.oclc.org/worldcat/entity/E39PCjJ76cQMpDyVRfpjhT34v3 _0http://id.loc.gov/authorities/names/n2020067819 |
|
| 700 | 1 |
_aSreeedharan, Sasidharan, _eeditor. |
|
| 776 | 0 | 8 |
_iPrint version: _z1394249438 _z9781394249435 _w(OCoLC)1493489295 |
| 776 | 0 | 8 |
_iPrint version: _z9781394249435 |
| 856 | 4 | 0 |
_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394249466 _yFull text is available at Wiley Online Library. Click here to view. |
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