The strengths and weaknesses of the method are discussed and the forecast quality is evaluated for an application example over Europe.doi:10.1016/j.renene.2019.04.135Lledó, Ll.Torralba, V.Soret, A.Ramon, J.Doblas-Reyes, F.J.Elsevier
The wind energy industry and electricity producers can benefit in a number of ways from increased wind forecast accuracy. Higher confidence in the reliability of wind forecasts can help persuade an electric utility to increase the penetration of wind energy into its operating system and to augment ...
A method of short-term wind power forecast based on wavelet transform and neural network Wang Shiqian,Su Juan,Du Songhuai,.A method of short-term wind power forecast based on wavelet transform and neural network.[J];Transactions of the ... S Wang,J Su,S Du - 《Transactions of the Chine...
Quantifying the value of improved wind energy forecasts in a pool-based electricity market This work shows the cost savings achievable by increasing wind forecast accuracy.System costs reduce by up to 1.6% with improvements in wind forecasting.Im... EVM Garrigle,PG Leahy - 《Renewable Energy》 ...
Under the current vertically integrated electricity system in China, a significant portion of the operation of the power generation system is planned on an annual basis. The annual quota for individual generators is determined at the beginning of the year. A better forecast of the potential for an...
The proposed formulation has two objectives: (a) maximise returns from the market considering the best forecast; and (b) minimise risks considering the forecast uncertainties. Risk in the participation strategy is quantified by computing expected energy not served (EENS). The multiobjective mixed ...
energy generation sources with fewer emission potential, coupled with favorable government policies, are likely to drive the market demand. However, the increasing adoption of alternative renewable energy sources, such as solar, hydropower, etc., may restrain the market growth during the forecast ...
Wind energy, as a renewable energy source, offers the advantage of clean and pollution-free power generation. Its abundant resources have positioned wind power as the fastest-growing and most widely adopted method of electricity generation. Wind speed st
Accurate wind speed forecasts are necessary to schedule dispatchable generation and tariffs in the day-ahead electricity market. This paper examines the use of fractional-ARIMA or f-ARIMA models to model, and forecast wind speeds on the day-ahead (24 h) and two-day-ahead (48 h) horizons. ...
Efficient forecasting scheme that includes some information on the likelihood of the forecast and based on a better knowledge of the wind variations charac... R Blonbou,S Monjoly,Jean-Francois Dorville - 《Energy Conversion & Management》 被引量: 43发表: 2011年 Generation dispatch under large pe...