{"id":578534,"date":"2024-11-05T20:07:40","date_gmt":"2024-11-05T20:07:40","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/iec-tr-630432020\/"},"modified":"2024-11-05T20:07:40","modified_gmt":"2024-11-05T20:07:40","slug":"iec-tr-630432020","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/iec\/iec-tr-630432020\/","title":{"rendered":"IEC TR 63043:2020"},"content":{"rendered":"
IEC TR 63043:2020(E), which is a technical report, describes common practices and state of the art for renewable energy power forecasting technology, including general data demands, renewable energy power forecasting methods and forecasting error evaluation. For the purposes of this document, renewable energy refers to variable renewable energy, which mainly comprises wind power and photovoltaic (PV) power \u2013 these are the focus of the document. Other variable renewable energies, like concentrating solar power, wave power and tidal power, etc., are not presented in this document, since their capacity is small, while hydro power forecasting is a significantly different field, and so not covered here.
\nThe objects of renewable energy power forecasting can be wind turbines, or a wind farm, or a region with lots of wind farms (respectively PV systems, PV power stations and regions with high PV penetration). This document focuses on providing technical guidance concerning forecasting technologies of multiple spatial and temporal scales, probabilistic forecasting, and ramp event forecasting for wind power and PV power.
\nThis document outlines the basic aspects of renewable energy power forecasting technology. This is the first IEC document related to renewable energy power forecasting. The contents of this document will find an application in the following potential areas:
\n\u2022 support the development and future research for renewable energy power forecasting technology, by showing current state of the art;
\n\u2022 evaluation of the forecasting performance during the design and operation of renewable energy power forecasting system;
\n\u2022 provide information for benchmarking renewable forecasting technologies, including methods used, data required and evaluation techniques<\/p>\n","protected":false},"excerpt":{"rendered":"
Renewable energy power forecasting technology<\/b><\/p>\n\n\n
\n Published By<\/td>\n Publication Date<\/td>\n Number of Pages<\/td>\n<\/tr>\n \n IEC<\/b><\/a><\/td>\n 2020-11-27<\/td>\n 142<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":578547,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[473,2636],"product_tag":[],"class_list":{"0":"post-578534","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-29-020","7":"product_cat-iec","9":"first","10":"instock","11":"sold-individually","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/578534","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/578547"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=578534"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=578534"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=578534"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}