|
000
| 02495cam 2200373zi 4500 |
|---|
| 001 | 9.921329 |
|---|
| 003 | CaOODSP |
|---|
| 005 | 20240215151205 |
|---|
| 006 | m o d f |
|---|
| 007 | cr mn||||||||| |
|---|
| 008 | 230328t20222023onca ob f000 0 eng d |
|---|
| 020 | |a9780660482095 |
|---|
| 040 | |aCaOODSP|beng|erda|cCaOODSP |
|---|
| 086 | 1 |aM154-154/2024E-PDF |
|---|
| 100 | 1 |aChang, Liuchen, |d1960- |eauthor. |
|---|
| 245 | 10|aEmerging technologies of short-term wind power forecasting / |cprepared for Natural Resources Canada, CanmetENERGY-Ottawa ; prepared by Dr. Liuchen Chang, Professor Emeritus, University of New Brunswick. |
|---|
| 264 | 1|a[Ottawa] : |bNatural Resources Canada = Ressources naturelles Canada, |c2022. |
|---|
| 264 | 4|c©2023 |
|---|
| 300 | |a1 online resource (53, that is, 52 pages) : |billustrations (chiefly colour) |
|---|
| 336 | |atext|btxt|2rdacontent |
|---|
| 337 | |acomputer|bc|2rdamedia |
|---|
| 338 | |aonline resource|bcr|2rdacarrier |
|---|
| 500 | |a"March 15, 2022." |
|---|
| 504 | |aIncludes bibliographical references (pages 49-52). |
|---|
| 520 | |a"The increased production of renewable wind energy is an effective decarbonization pathway to meet Canada's net-zero targets. However, due to the natural variability of wind, the integration of wind energy into electrical power systems is challenging. The main objectives of this publication is to evaluate and improve short-term wind forecasts from Environment and Climate Change Canada's wind forecasting models. Researchers developed a desktop wind forecast package which includes various wind power production forecasting functions, ramp events and forecasting and performance assessments for historical data. When compared with one of the existing reputable commercial wind forecasting service vendors, a noticeable degree of improvement of the wind forecasting performance can be found in the newly developed model"--Provided by publisher. |
|---|
| 650 | 0|aWind forecasting|xMathematical models. |
|---|
| 650 | 0|aWind power|xForecasting. |
|---|
| 650 | 6|aVents|xPrévision|xModèles mathématiques. |
|---|
| 650 | 6|aÉnergie éolienne|xPrévision. |
|---|
| 710 | 1 |aCanada. |bNatural Resources Canada, |eissuing body. |
|---|
| 710 | 2 |aCanmetENERGY (Canada), |eissuing body. |
|---|
| 775 | 08|tTechnologies émergentes de prévision d'énergie éolienne à court terme.|w(CaOODSP)9.921331 |
|---|
| 856 | 40|qPDF|s3.54 MB|uhttps://publications.gc.ca/collections/collection_2024/rncan-nrcan/M154-154-2024-eng.pdf |
|---|
| 856 | 4 |qHTML|sN/A|uhttps://doi.org/10.4095/331672 |
|---|