標題: Titlebook: Energy Time Series Forecasting; Efficient and Accura Lars Dannecker Book 2015 Springer Fachmedien Wiesbaden 2015 Der Europ?ische Strommarkt [打印本頁] 作者: 弄混 時間: 2025-3-21 17:59
書目名稱Energy Time Series Forecasting影響因子(影響力)
書目名稱Energy Time Series Forecasting影響因子(影響力)學科排名
書目名稱Energy Time Series Forecasting網(wǎng)絡公開度
書目名稱Energy Time Series Forecasting網(wǎng)絡公開度學科排名
書目名稱Energy Time Series Forecasting被引頻次
書目名稱Energy Time Series Forecasting被引頻次學科排名
書目名稱Energy Time Series Forecasting年度引用
書目名稱Energy Time Series Forecasting年度引用學科排名
書目名稱Energy Time Series Forecasting讀者反饋
書目名稱Energy Time Series Forecasting讀者反饋學科排名
作者: 微不足道 時間: 2025-3-21 23:28
The Online Forecasting Process: Efficiently Providing Accurate Predictions,ocess that tackles these challenges and requirements. The online forecasting process uses forecast model materialization in conjunction with flexible, iterative parameter estimation to rapidly provide accurate forecasts in an application-aware manner.作者: RENAL 時間: 2025-3-22 02:43
Optimizations on the Logical Layer: Context-Aware Forecasting, domain we can observe a strong dependence of the time series development on external factors and background processes (compare Section 3.1.3). The energy domain is unique in the fact that we can observe most of this time series context. We propose to exploit this information to further improve the online forecasting process.作者: white-matter 時間: 2025-3-22 06:39 作者: OUTRE 時間: 2025-3-22 09:49
Conclusion and Future Work, new requirements on the forecasting calculation process. The electricity market changed from a static oneday ahead market to a more flexible and dynamic trading in real-time. In this markets the number of market participants substantially increased and deals can be closed shortly before the target fulfillment date of the negotiated contract.作者: generic 時間: 2025-3-22 16:46
Book 2015the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting process is realized by a number of approaches on the logical as well as on the physical layer that we introduce in the course of this book..Nominated for the Georg-Helm-Preis 2015 awarded by the Technische Universit?t Dresden..作者: generic 時間: 2025-3-22 20:40 作者: cogent 時間: 2025-3-23 00:07
mproves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing am作者: 閑逛 時間: 2025-3-23 05:12 作者: 肥料 時間: 2025-3-23 07:10
Strategisches Management — Grundlagenocess that tackles these challenges and requirements. The online forecasting process uses forecast model materialization in conjunction with flexible, iterative parameter estimation to rapidly provide accurate forecasts in an application-aware manner.作者: 避開 時間: 2025-3-23 10:47 作者: Euphonious 時間: 2025-3-23 15:40 作者: 滑稽 時間: 2025-3-23 18:09
https://doi.org/10.1007/978-3-642-97865-4 new requirements on the forecasting calculation process. The electricity market changed from a static oneday ahead market to a more flexible and dynamic trading in real-time. In this markets the number of market participants substantially increased and deals can be closed shortly before the target fulfillment date of the negotiated contract.作者: 笨拙的你 時間: 2025-3-24 01:32
Book 2015ency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate 作者: Contracture 時間: 2025-3-24 03:33 作者: 胎兒 時間: 2025-3-24 10:21
Introduction,ir 2013 hype cycle for analytic applications as ”entering the plateau” and ”climbing the slope” respectively, which means that both are well-established technologies in the industry and their utilization is steadily increasing.作者: Presbyopia 時間: 2025-3-24 14:00 作者: PHON 時間: 2025-3-24 18:09 作者: 占卜者 時間: 2025-3-24 20:45 作者: 古文字學 時間: 2025-3-25 00:27 作者: 槍支 時間: 2025-3-25 04:57 作者: Aids209 時間: 2025-3-25 10:50 作者: HPA533 時間: 2025-3-25 13:34 作者: Offbeat 時間: 2025-3-25 17:41
Strategisches Management — Grundlagens well as the identified general challenges for forecasting in the energy domain (compare Section 3.5), we now introduce a novel online forecasting process that tackles these challenges and requirements. The online forecasting process uses forecast model materialization in conjunction with flexible,作者: Ccu106 時間: 2025-3-25 22:22
Die Erforschung der strahlenden Natur, physical layer are necessary to fully realize the efficiency improvements. In this chapter, we discuss approaches on the logical layer. In the energy domain we can observe a strong dependence of the time series development on external factors and background processes (compare Section 3.1.3). The en作者: Ancillary 時間: 2025-3-26 00:17 作者: debris 時間: 2025-3-26 07:16
https://doi.org/10.1007/978-3-642-97865-4 grid. While large number of accurate forecast models already exist, new developments in the electricity markets of different countries worldwide pose new requirements on the forecasting calculation process. The electricity market changed from a static oneday ahead market to a more flexible and dyna作者: ALERT 時間: 2025-3-26 09:59
Lars DanneckerStudy in computer science.Includes supplementary material: 作者: FLAX 時間: 2025-3-26 13:43
http://image.papertrans.cn/e/image/310454.jpg作者: CRASS 時間: 2025-3-26 20:01
Introduction,ins such as sales, traffic control, and energy management [119]. Instead of solely analyzing data of the past, forecasting allows to take a look into possible future developments, which is of great value when making strategic decisions. Thus, it comes at no surprise that forecasting is gaining more 作者: 歡笑 時間: 2025-3-26 22:32 作者: 兇猛 時間: 2025-3-27 02:56 作者: 色情 時間: 2025-3-27 06:22
The Online Forecasting Process: Efficiently Providing Accurate Predictions,s well as the identified general challenges for forecasting in the energy domain (compare Section 3.5), we now introduce a novel online forecasting process that tackles these challenges and requirements. The online forecasting process uses forecast model materialization in conjunction with flexible,作者: –FER 時間: 2025-3-27 09:38
Optimizations on the Logical Layer: Context-Aware Forecasting, physical layer are necessary to fully realize the efficiency improvements. In this chapter, we discuss approaches on the logical layer. In the energy domain we can observe a strong dependence of the time series development on external factors and background processes (compare Section 3.1.3). The en作者: CHASM 時間: 2025-3-27 13:49
Optimizations on the Physical Layer: A Forecast-Model-Aware Time Series Storage,anization and agnostic to the chosen forecast models. However, optimizations on the logical layer do not influence the way data is stored and handled within main memory and the way modern hardware can be utilized to improve the forecasting calculations. Thus, to further improve the forecasting effic作者: abolish 時間: 2025-3-27 20:42 作者: ventilate 時間: 2025-3-27 23:13 作者: 拔出 時間: 2025-3-28 04:34 作者: 易怒 時間: 2025-3-28 08:12
0921-092X lso useful for managers in the private, public, and not-for-profit sectors. Further, it is a valuable resource for students at both undergraduate and postgraduate levels, and an indispensable guide for anyone w978-3-030-38154-7978-3-030-38152-3Series ISSN 0921-092X Series E-ISSN 1872-4663
