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Take the relevant data of similar days as the historical data sample, part of the data as training samples to determine predictive models and the rest to check prediction model.
Benefit is reduction of Expected Energy Not Served (EENS) after the configuration of spinning reserve; Cost is measured by the opportunity cost of giving up generating or reserve quotation.
[2] Qing Xia, Shaojun Wang and Niande Xiang: Proceedings of the CSEE, 18(6): 429-433(2000) [3] Chongqing Kang, Lichao Bai and Qing Xia: Proceedings of the CSEE, 22(9): 6-11(2004) [4] Shaohua Zhang, Zhiwei Yu and Yuzeng Li: Proceedings of the CSEE, 25(22): 12-20(2007) [5] Jincui Wang:“Study on forecasting the wind speed and wind power based on the measured data of a wind farm,” Thesis, Northeast Dianli University, 2010

X-ray diffraction pattern of (1-x) LCMO: x TiO2 composites (x = 0.00, 0.05, 0.10, 0.15 and 0.20) The XRD data were further analysed using Rietveld refinement and the crystal structural parameters of the LCMO composites are presented in Table 1.
All data have a good fitting with the calculated data and with RWP that less than 6 % and GoF of less than 1.5.
Rietveld refinement data of pure LCMO and LCMO: TiO2 composites Sample Lanthanum Calcium Manganate Crystal Structure Orthorhombic Space group Pnma (62) TiO2 Composition, x 0.00 0.05 0.10 0.15 0.20 Lattice Parameter a (Å) 5.450 5.455 5.453 5.454 5.455 b (Å) 7.704 7.707 7.704 7.706 7.724 c (Å) 5.471 5.477 5.477 5.474 5.458 Bond Angle ∠Mn-O1-Mn (°) 162.574 162.580 162.581 162.578 162.543 ∠Mn-O2-Mn (°) 161.150 161.136 161.129 161.141 161.236 Bond Length Mn-O1 (Å) 1.931 1.933 1.932 1.932 1.930 Mn-O1 (Å) 1.976 1.978 1.977 1.977 1.974 Mn-O2 (Å) 1.952 1.953 1.953 1.953 1.957 Mn-O2 (Å) 1.952 1.953 1.953 1.953 1.957 REXP (%) 4.623 4.415 4.643 4.695 4.622 RP (%) 3.532 3.508 3.930 4.144 4.128 RWP (%) 4.636 4.603 5.040 5.537 5.423 Goodness of Fit 1.006 1.087 1.179 1.413 1.377 Sample Titanium Oxide (Rutile) Crystal Structure Tetragonal Space group P42/mnm (136) Lattice Parameter a (Å) - - 4.585 4.596 4.592 b (Å) - - 4.585 4.596 4.592 c (Å) - - 2.953 2.951 2.955 The magnetic properties of samples
So, this will further lead to the reduction of resistivity therefore enhancing the low field MR (LFMR).

An important practical value has the data on the time and heat dependence for the recovery degree of alloying elements.
The achieved nitrogen content in the steel is above the stoichiometric value, which explains the significant reduction in its content in the melt with further holding for 30 minutes.
The start of the process of nitrogen release depends on the temperature and the type of nitride-forming elements, so according to the published data [19] from nitrided manganese, nitrogen emission begins at a temperature of 1050-1100 ° C.
The obtained data are consistent with the literature values [20].
Obtained as a result of experimental studies, the degree of nitrogen transition into the steel from nitrided manganese, at the holding of 30 minutes is 23 to 73% and is consistent with the literature data.

Data analysis of experimental diagram shows a descending tendency as grinding is longer with some exceptions.
Data analysis of grinding results shows a descending trend as grinding is longer (from 2 to 4 min).
Data analysis represents increasing tendency of sand/cement ratio as compressive strength is lower.
Some conclusions can be done by analyzing the data obtained from the mixtures I and IV.
Korjakins, Reduction of the Capillary Water Absorption of Foamed Concrete by Using the Porous Aggregate, Mat.

Permeation Data Analysis Considering a Nonzero Hydrogen Concentration on the Low Pressure Detector Side for a Purged Permeation Experiment Axel von der Wetha*, Frederik Arbeiterb, Dmitry Klimenkoc, Volker Paslerd, Georg Schlindweine Karlsruhe Institute of Technology, P.O.Box 3640, D-76021 Karlsruhe, Germany a*axel.vonderweth@kit.edu, bfrederik.arbeiter@kit.edu, cdmitry.klimenko@kit.edu, dvolker.pasler@kit.edu, egeorg.schlindwein@kit.edu Keywords: Hydrogen, permeation, diffusion constant, experiment analysis, branch and bound algorithm Abstract.
In contrast to this, nearly all current available hydrogen permeation literature (Summary in [5]) is related to pure hydrogen isotopes data around 105 Pa partial pressure in the retentate chamber.
The residence time of the purge gas in the permeate chamber and pipe system volume up to the mass spectrometer, generating a distortion (time offset and reduction of slope) in the measurable signal.
Fig. 3: It shows a demonstration example for the impact of a TSF on measured data.
The time difference -shown by the black arrow- between measured data and original data can be corrected by TSF dependent on the relative concentration. 3.1 The FDM-module The description of FDM-module will start with boundary conditions given by phase equilibrium between gaseous Q-phase and Q-concentration inside the membrane in both chambers.

The paper explains the good properties of composite materials shown in the table tennis bat in detail through a data analysis.
The honeycomb composite material structure slab of utility model used for the bottom plate of table tennis has the characteristics of weight reduction, elasticity increase, vibration elimination, control increase, high strength, mild stiffness, and being weather proof, durable and environmental.

The digital design of mechanical products is usually first reference existing parts, drawings, and experience to make original design data and design requirements, according to the design of digital model is set up, after an analysis of the finite element model according to the analysis results contrast design goal to design or structure parameter changes, to the expected design purpose.
Generally considered when metal products as cathode, mainly by means of heavy precipitation hydrogen reduction and mechanical exfoliation of oxide synthesis results; Anode, mainly by means of the chemical and electrochemical dissolution of the metal, and metal materials precipitate oxygen bubbles mechanical exfoliation of oxide synthesis results.

Experiment data show that the fusion of multiple classifiers for face recognition has higher efficiency, accuracy of recognition and lower rate of error recognition.
Face identification technology not only avoids users being involved too much but also combines the advantages of contactless data acquisition and convenient hiding without any damage to the users, so it is called the most promising method of verifying the user identification in the 21st century[2].
Because face images are comparatively larger, the number of samples in face recognition is fewer, we extract principal components for data set by using PCA and reduce the dimension of samples.
The features after rank reduction are sent to SVM for study.

Based on the construction environment, theconstructiontechnology, the smaller earthwork excavation of deep high pressure rotary jet grouting pile with undrained caisson combined construction technology combined with monitoring data for the open caisson excavation control is adopted.
The hydrological condition As pore water,the project site of shallow groundwater, supplied by the atmospheric precipitation and surface water, it has certain hydraulic connection with the Yangtze river water level, during exploratory period underground water level buried depth is commonly 0.15 ~ 1.20 m, In case of rain or rainstorm, the underground water level may rise to the ground.According to the hydrological data, the project site along Yangtze River tide as follows: Table 1 The Yangtse River tide table Historical highest tide level 6.03[m] 0.1% design high water level 6.62[m] History lowest tide level -0.19[m] 1% design high water level 6.02[m] Years of average high water level 3.31[m] 97% design low water level -0.25[m] Years of average low water level 0.88[m] 99% design low water level -0.31[m] Deep well sinking construction Circulating water pump house connected caisson is divided into four sections, two sinking, about 23m sinking depth.
Table 2 Сaisson deviation form Quality common fault causes analysis Preventive measures and treatment methods Caisson tilt 1) Soil at the foot of caisson cutting edge is soft and hard uneven. 2) No even digging make the well surface difference in elevation. 3) Digging too much, caisson sink suddenly, easy to produce tilt. 4) The well abandoned soil or pile, Inoue and load points and uneven, resulting in the sidewall bias. 1) Strengthen the observation and data analysis during sinking ,discover tilt and correct timely. 2) In high blade feet side reinforcing soil, low side ,little dig or no digging, stay positive and then uniformly layered soil. 3) In lower blade feet side appropriate backfill sand, delaying the sinkingSpeed.
Caisson sinking too fast 1)In soft soil layer,soil compressive strength is small, make sinking, faster than the excavation speed. 2)Caisson external soil liquefaction. 1) Adjustment of excavation, no dig or partly excavation at the edge of the foot. 2) Filling the rough material between the open caisson wall and soil wall, or rammeding the earth of well Cylinder, increasing friction drag; as the external well, Soil liquefaction virtual pit, can fill gravel processing. 3) Reduction of each section of cylinder body height, weight loss of open caisson.

Experiments show that the method compared to the traditional method using only the detection results of the brightness component improved substantial, reduced empty of the detected vehicle a large extent and increased traffic information data accuracy depending on the detection result.
It refers to data from multiple sensors for multi-level, multi-faceted, multi-level processing and integration, and obtains more reliable, richer, more accurate and meaningful information.
Taking into account the effect of noise filtering and reduction of the effective loss of signal, the filter templates select 3×3 template.
The test results of the yellow and blue cars are shown in Figure 2, Figure 3 below: (a) The current frame of Yellow car (b)Y-component DY (c) fusion Figure 2 The test results of the yellow cars (a) The current frame of blue car (b) Y-component DY (c) fusion Figure 3 The test results of the blue cars It can be seen from the figure, Y-component of the test results has more space empty, the edge is not clear, the use of three components of the results of testing data fusion target enrichment, hollow substantially reduced, full body, test results have increased significantly.