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Our analysis is based on a unit commitment and dispatch model that considers the scheduling of PEV-charging loads [16].
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Both case studies consist of a unit commitment of 24 hours.
Unlike prior studies on time-differentiated pricing, the heart of our model, a unit commitment model, accounts for inter-temporal constraints on power generation that may be crucial to accurately capturing the response of generators to a transient price signal.
This paper presents a unit commitment (UC) model based on fatigue damage modeling of blades and uncertainty estimation of wind power forecasting (WPF).
Market clearing is made in the MO agent, which is a unit commitment (UC) problem.
The majority of literature in this area uses either an econometric or a unit commitment approach but not both, thus this paper allows for the isolation of the impact of modelling approach on the results.
For the electricity network a unit commitment problem with optimization of energy and reserves under a power pool, considering all system operational and unit technical constraints is solved.
The fluctuation of the wind generation has a great impact on the unit commitment.
There are already abundant studies on unit commitment and dispatch for power systems containing wind power.
In [7], a scenario tree tool was developed which allows forecast error statistics to be altered and facilitates the study of how these statistics impact on unit commitment and system operation.
In this paper, a robust unit commitment model to minimize the generalized social cost is proposed for the optimal unit commitment decision taking into account uncertainty of the price elasticity of demand.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com