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These can also improve the comprehensive utilization of power generation equipment, and achieve energy-saving emission reduction effect[2-4].The two-way trade mode is delivered for two purposes: the one is to satisfy the users’ requirements of charging and discharging, the other one is to facilitate the plans and arrangements of charging or discharging for users, as to regulate the power grid load.
Development environment and overall architecture The prototype system is based on the B/S model which has three layer mode of development: presentation layer, application layer and data layer.
It can provide rich functionality for embedded application client, lightweight Web applications or local data storage.
It helps protect data, improve performance and has features of easy deployment and rapid prototyping.

At present, for almost all the existed buildings, the following problems have influences on building retrofit, such as lack of knowledge on the existed buildings energy consumption data during the process of energy-saving retrofit, energy-saving programs are generally in accordance with the new energy-saving design standards, and it is lack of pertinence, retrofit economy and unreasonable assessment on payback period.
In the end, we will get the percentage of energy consumption of different enclosing parts by data correction.
After synthesizing the relevant data of other four samples, we draw the conclusion that the key to energy-saving retrofit is to reduce the heat transfer coefficient of external window and the air infiltration.
The efforts to improve energy efficiency in residential buildings can result in considerable reductions in CO2 emissions and thus play a key role in meeting the Chinese Government’s target of reducing emissions in accordance with the Kyoto Protocol.

Overview of high steep rock slope engineering There was a rock slope engineering in Guangdong Province, the height is about 130m and length is about 302m, according to engineering survey data show that the overburden of bedrock is artificial fill soil and slope residual soil, its thickness is 2.30 ~ 8.45m, the lithology of bedrock are: shale, sandstone, geological conditions is complex, rock boundaries, fractures, weak structural plane are staggered, and there are another two through fractures F1 and F2, F1is major fracture, trending toward is NE9°, the tendency is NW279°, the average angle is 78°; F2 fault: trending toward is NW316°, the tendency is SW226°, dip 78°. 3D modeling of high steep rock slope Midas GTS is an excellent finite element method (FEM) 3D numerical simulation software in engineering field which has fast and intuitive three dimensional modeling, rapid and very powerful ability in mesh generation, professional geotechnical analysis capabilities and intuitive analysis
According to the water table for each drill hole sectional view of survey data, a cross section water line is drawn, while the groundwater pressure is as external load, directly on the slope structure, it is in order to achieve a common effect of rainfall and the water table.
Earthquake time curve Using the strength reduction method, rock slope is three dimensional analyzed under its own weight, heavy rainfall, earthquake three conditions effect, obtained the safety factor, the maximum shear strain (potential slip surface) of slope, shown in Figure 6～10.
Verified by actual monitoring data show that the calculated results are accordance with reality.

Therefore, it is useful to identify and apply a model prediction from available data.
Predicted values will then be compared to experimental data.
Figure 3: Train data versus experimental data considering (a) decision tree and (b) random forest model The same correlation is obtained for the test data set, as highlighted in Figure 4.
Figure 4: Test data versus experimental data considering (a) decision tree and (b) random forest model To observe the influence of the type of mixture, the experimental values of all the peak loads and predicted ones are presented in Figure 5.
Dirras, Data on the impact of increasing the W amount on the mass density and compressive properties of Ni-W alloys processed by spark plasma sintering, Data Br. (2016) 2–5. https://doi.org/10.1016/j.dib.2016.04.011

For non-linear classification problem, the C-support vector classification algorithm can be adopted, which can divide the data into two categories, the major steps on the algorithm is as follows[10]
(1) Supposing the training set of known sample set is.is the input data,.is the categories output,
The main beam and steel truss are simulated by beam4 of 6-node spatial beam element, the cable is simulated by link10 (only withstand tension) of 2 node ropes unit, taking into account the reduction of elastic modulus based on cable nonlinear within the current span has little effect on the dynamic characteristics of cable-stayed bridge, so the cable will deal with as a linear elastic unit.
The 20 different damage cases are Selected, which denotes different damage location, the frequency is acted as the damage index, taking the frequency in damage condition and in good condition, which are normalized as the training set of support vector machine (SVM) model, then 10 sets of data are selected as the test samples to verify the accuracy of the algorithm.
In order to test the influence of data error for SVM network, respectively, the three different errors is added in the 10 sets of data to test the ability of damage identification of the trained SVM network.

Our experimental data clearly show that in the early stage, the deformation is not homogeneous within the sample, indicating that significant softening occurred.
Thus interphase boundaries play a critical role in the grain size reduction mechanism.

The computation results are in good agreement with the experimental data.
Experiment model To reduction model, make an assumption as the minimum explosive velocity is a constant on the border.

Using data associated with the traffic parameter for congestion and non congestion, an incremental SA-PC method is trained to detect whether traffic congestion occur or not.
Under travel time uncertainty, it is found from several empirical studies that road users (or travelers) make their route choices, not only dependent on travel time saving, but also on reduction of travel time variability [2-4].

A large volume of selected experimental data has been collected from existing literature and then analyzed.
The new empirical model seems to perform much better when applied to the published experimental data on normal weight concrete over a wide strength range.
In the present paper, a large volume of selected experimental data has been collected from existing literature and then analyzed.
The new empirical model seems to perform much better when applied to the published experimental data on normal weight concrete over a wide strength range.
The new empirical models seem to perform much better when applied to the published experimental data on normal weight concretes over a wide strength range from 50 MPa to 125MPa.

The key variation is pre-determined by the factors the authors failed to identify on the basis of the data research.
The initial data for statistical analysis are the results of experimental research and performance tests.
In the model (4) a free term and hardening coefficients 61 and 50 MPa/% are close to the data found in the references [17] and to the results of the previous research [15].
The key variation is pre-determined by the factors the authors failed to identify on the basis of the data research.
Kulaichev, Data Comprehensive Analysis Methods and Means.