Towards improved understanding of the applicability of uncertainty forecasts in the electric power industry
Around the world wind energy is starting to become a major energy provider in electricity
markets, as well as participating in ancillary services markets to help maintain grid stability …
markets, as well as participating in ancillary services markets to help maintain grid stability …
Time adaptive conditional kernel density estimation for wind power forecasting
This paper reports the application of a new kernel density estimation model based on the
Nadaraya-Watson estimator, for the problem of wind power uncertainty forecasting. The new …
Nadaraya-Watson estimator, for the problem of wind power uncertainty forecasting. The new …
A statistical description of the error on wind power forecasts for probabilistic reserve sizing
As the share of wind power in the electricity system rises, the limited predictability of wind
power generation becomes increasingly critical for operating a power system reliably. In …
power generation becomes increasingly critical for operating a power system reliably. In …
A novel probabilistic short-term wind energy forecasting model based on an improved kernel density estimation
J Guan, J Lin, JJ Guan, E Mokaramian - International Journal of Hydrogen …, 2020 - Elsevier
The evolution of renewable energy especially wind energy over the past decade has
surpassed all expectations. Short-term probabilistic wind power forecasting is a good option …
surpassed all expectations. Short-term probabilistic wind power forecasting is a good option …
Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of Illinois
In this paper, we analyze how demand dispatch combined with the use of probabilistic wind
power forecasting can help accommodate large shares of wind power in electricity market …
power forecasting can help accommodate large shares of wind power in electricity market …
An improved genetic algorithm approach to the unit commitment/economic dispatch problem
R Ponciroli, NE Stauff, J Ramsey… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The deployment of new technologies, the importance of accurately modeling the dynamics
of the generating units and the introduction of new policies are making the solution of the …
of the generating units and the introduction of new policies are making the solution of the …
An improved stochastic unit commitment formulation to accommodate wind uncertainty
The United States targets to supply 20% of its electricity generation using wind energy by
2030. The expansion of renewable resources, especially weather-based resources such as …
2030. The expansion of renewable resources, especially weather-based resources such as …
Cooperative dispatch of wind generation and electric vehicles with battery storage capacity constraints in SCUC
C Shao, X Wang, X Wang, C Du… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Load dispatch such as Vehicle-to-Grid (V2G) control of electric vehicles (EVs) is taken as a
promising way to promote the integration of wind power. This paper proposes a cooperation …
promising way to promote the integration of wind power. This paper proposes a cooperation …
Solution sensitivity-based scenario reduction for stochastic unit commitment
A two-stage stochastic program is formulated for day-ahead commitment of thermal
generating units to minimize total expected cost considering uncertainties in the day-ahead …
generating units to minimize total expected cost considering uncertainties in the day-ahead …
Impact of wind power scenario reduction techniques on stochastic unit commitment
Stochastic unit commitment (SUC) is an effective method widely used to cope with the
uncertainty of wind power. For the limitation of computation capability, only limited members …
uncertainty of wind power. For the limitation of computation capability, only limited members …