A way to construct time marching DRP schemes by optimizing the finite difference approximations of the space and time derivatives in the wave number and frequency space is proposed.
The design pinch calculation (DPC) revealed that 1150 kg/h of fuel gas (natural gas) and 1322 t/h of cooling water could be saved through optimizing the temperature difference contribution value (ΔTc) of heat transfer in each stream for an existing ammonia plant.
Various measures have been defined and optimized for the difference between intraconnections and interconnections among network nodes, such as normalized cut, conductance, and others, using a variety of methods [4].
Consequently, the proposed objective evaluation metric to be optimized is the difference between the estimated global motion and the observed motion, measured as RMSE: RMSE = 1 2 F ∑ j = 0 F E x, j - T x, j 2 + ∑ i = 0 F E y, i - T y, i 2 (7).
Inside, Winnebago has optimized the space with clever packaging.
At the end of the DPCoA analysis, all the points are projected in a subspace which optimizes the representation of the differences among populations.
Therefore, in order to optimize the peak-valley difference, the following optimization model is built: begin{aligned} & hbox{max} P_{theta } left( {t_{1},Delta t,beta } right) & text{s.t.} left{ {begin{array}{*{20}l} {0 le t_{1} le 24} hfill {0 < Delta t < 12} hfill {0 < beta < beta_{lim } } hfill end{array} } right.
This paper aims to develop a controlled EV charging strategy to optimize the peak-valley difference of the grid when considering the regional wind and PV power outputs.
Furthermore, it achieves the goal of stabilizing the power fluctuations caused by the regional wind and PV outputs and optimizing the peak-valley difference in the gird.
Liu et al. [11] develop a PEV charging-control algorithm to optimize the peak-valley difference of a power system, considering wind and solar production.
