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Based on the operation data of a 100kW PV system in a certain place of China, simulation studies are performed.
With the reduction of the lithium-ion battery manufacturing cost and improvement of service life, applying the large-scale battery energy storage system into power systems is possible.
First, the sensor system obtain operation data of each sub-module from controlling sensors, including voltage, current, frequency, battery operation and other parameters.
Analysis on Typical Photovoltaic Power Station In this paper, a 100kW PV system in Nanchang is selected to carry out statistical analysis and provide data support.
（1） Fig.4 The statistics of 100kW Nanchang PV system Figure 4 is the data statistics of the selected PV system.

Simulations has been performed using SIIMPL, a Monte Carlo simulation code based on the binary collision approximation, to predict experimental data and get a deeper insight in the channeling process.
Fig.3 Boron concentration versus depth in three 4H-SiC samples measured by SIMS. 50 keV 11B have been implanted at 200 °C along the [000-1] crystal direction The SIMS data are drawn as solid lines while MC-BCA simulations are given as dotted lines.
In addition to experimental data, the profiles have been simulated using the SIIMPL code.
Only a small reduction of channeling depth is revealed as the implantation temperature increases.
Summary In this study, we present experimental data and MC-BCA simulations for channeled implantations of 50 keV 11B-ions and 100 keV 27Al-ions in 4H-SiC along the [000-1] axis at different temperatures.

PCA is sensitive to the relative scaling of the original variables and has been widely used for multivariate data analysis and dimension reduction.
Often, its operation can be thought of as revealing the internal structure of the data in a way that best explains the variance in the data.
Step ①:Enhance the sensitivity of data.
The AR model established on experimental data thus is different.
The principal component analysis result of experimental operation factors indicates that, with dimensionality reduction, PCA effectively retain the feature information of the original data and remove the distractions.

The experimental data showed variations in specific surface area, microstructure, pore size distribution, and amounts of iodine adsorbed by the activated carbon fibers.
KOH changed to K2O at activation temperature, and subsequently K2O changed to metallic K+ ions by reduction process.
As mentioned above, the reduction of silver ions on the surface of ACFs involves two stages: the first stage is the adsorption of silver ions on ACF surface, and the second stage is the reduction of Ag+ on ACFs.
Therefore, the creation of crystal nucleus has closely (a) (b) (c) (b) (a) relation to the oxygen-containing group on ACF, and the growth speed of crystal grain is determined by the reduction potential of ACFs.
The creation of crystal nucleus has closely relation to the oxygen-containing group on ACF, and growth speed of crystal grain determined by the reduction of potential of ACF.

Table 1 shows data measured at THDi_beforeTR for each phase.
These data measured by using a reliable power meter (RPM) connected with phase wire and neutral wire.
0.297 Table 1 shows data measured at THDi_before TR at Figure 1.
These data generated by “Makmal Komputer 3” and before harmonic elimination process.
Table 2 shows data after divided by 2 between computer center_P and center_Q.

Furthermore the modelling predictions were validated using experimental data.
During the 28days measuring period, the experimental temperature reduction were 0.59℃, 0.31℃, and 0.22℃ at 10m, 30m and 50m, respectively; while the simulation temperature reduction were 0.59℃, 0.31℃, and 0.22℃ at corresponding depths.
Furthermore, the temperature reduction of the ground became more and more obviously along with the operating of GSHP, it is necessary to study the temperature field underground with a long-time operating.
The model made a simulation on the heat extraction rate and temperature distribution under the ground, which was validated by experimental data.
(2) The temperature reduction of the ground became more and more obviously along with the operating.

As a function of the exponent of the number of cycles, N, a linear reduction in residual stress was proposed by Han et al. [5] based on experimental data as follows: (1) where is the residual stress relaxation, is the residual stress at the first cycle and k is dependent on material softening and applied stress.
The proposed equations were validated against experimental data.
The values of these constants gathered from fitting the experimental data are shown in Table 2.
Eq. 7 is evidently able to account for the cold work effects and produces agrees well with the experimental data.
The estimation was found to be in good agreement with the experimental data from [7].

Data Sources and Processing Study Area.
Data Sources.
This research needs major data and source are National economic statistical yearbook in Fengnan district during 1998 to 2009, land use statistical yearbook in Fengnan district during 1998 to 2009 and land use types survey database of Fengnan district in 2009 and other relevant data.
Data Processing.
The ecosystem service value of per unit area and the change between 1998 and 2009 can be calculated by the land use data (Fig. 2).

This algorithm can directly deal with matrix data like face images.
PCA is one of the most famous techniques for data representation and compression.
The first item in Eq. 1 is similar to FCM, which depicts the data structure of both labeled and unlabeled data.
Experimental Results 4.1 Data Normalization.
Fig. 1 Face normalization Fig.2 Face data set 1.2 Experimental Result.

It is worth to mention the capital investment of approximately 187.26 billion AMD, 77.16 billion of which was invested in the sphere of drinking water and 110.1 billion AMD was aimed at irrigation objectives (120 million USD granted for the Millennium Challenge Corporation (MCC)-Armenia project implementation included) in the sphere of drinking and irrigation water supply via mortgage and grant projects according to 2002-2012 data of State Committee on Water Economy adjacent to the Republic of Armenia Ministry of Territorial Administration (Table 1).
Methods and Results The most important achievements of the water sphere due to investments are the 1. modernization of drinking and irrigation systems; 2. restoration of Marmarik reservoir; 3. continuity of private management of closed joint-stock companies such as the “Armenian Water Sewerage Company”, “Lori-Water Sewerage Company”, “Shirak-Water Sewerage Company” and “Nor Akunq” CJSC. 4. energy saving by almost 50% compared to 2002 data; 5. construction realization of sewerage cleaning stations in Gavar, Martuni and Vardenis towns and well as construction of sewerage network of around 50km; 6.
This will promote the reduction of water loss increasing water supply efficiency as well as improve the management of transported water by eliminating the filtration phenomena causing damages in the residential areas.
The latter will contribute to the cultivation of high value crop, reduction of agricultural production costs and improvement of water consumers’ payability.
Irrigation sphere projects aimed at cost reduction for the irrigation water due to electricity waste reduction are planned to be implemented together of the World Bank.