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weekend pattern are very apparent There is also a noticeable daily consumption pattern that follows early morning hours, work hours, evening hours, and sleeping hours The temporal behavior patterns are also very much linked to weather patterns, as discussed below Weather Parameters Weather has the largest impact on load Weather follows seasonal and daily patterns, which coupled with temporal behavior impact residential load Below we indicate the more signi cant weather parameters and discuss their impact on load Temperature: Residential load responds to temperature more than any other weather variable Air conditioning demand increases in response to high temperatures Heating demand increases in response to low temperatures Demands on refrigeration can uctuate in response to changes in indoor temperatures Humidity: Air conditioning demand increases with increasing humidity Recent temperature history: Heating and air conditioning demand increase as intemperate periods persist for longer durations.

Notice that the wildcardType uses two attributes we have not yet seen: mixed and processContents. The mixed element allows mixed content (elements and character data). The processContents attribute specifies the action an XML processor should take when validating the children elements. The legal values for the processContents attribute are skip, lax, or strict, which mean ignore, validate if possible, and strictly validate, respectively. The Schema specification includes other features like annotations, defining your own simpleContent or complexContent, nullable fields, keys, and substitution groups that are outside the scope of this book. Refer to the Schema specification at http://www.w3.org/TR for the complete specification and primer.

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This is caused by air pockets dissipating through insulating materials and external walls and decreasing the effectiveness of the insulation Sunshine and cloudiness: Cloudiness increases daytime light usage However, it decreases air conditioning usage as less radiant energy heats up rooftops The net effect is either positive or negative depending on lighting and air conditioning requirements In Belgium, load decreases on rare sunny days as the reduction in lighting need is greater than the increase in air conditioning use The opposite occurs in Tucson Declination of the sun: The rate at which solar radiation heats up a roof or exterior walls depends on the declination of the sun Higher heat transfer increases air conditioning load while decreasing heating load Wind: Increased wind speed decreases the effectiveness of insulation Additionally, external air may enter a house through gaps in windows and doors at higher wind speeds.

The manner in which Credit Risk+ outputs expected loss and risk contributions for individual facilities is illustrated in Exhibit 4.27. In this, the risk contribution is a standard-deviation-based risk contribution. The actuarial approach has the appearance of precision because results are calculated via mathematical model rather than a simulation; however, just the opposite is true. Actuarial models are closed form approximations to the true distribution of defaults. Credit Risk+ is subject to at least two approximation errors. 1. It is possible for a credit to default more than once. 2. The approximation used to calculate the portfolio distribution from the individual loss distributions relies on default rates being small. This means, for example, that noninvestment grade credits of longer

Accordingly, wind increases residential air conditioning and heating demand Remark Residential load requirements may have peculiarities in certain geographic locations For example, areas of Florida have a large number of heated swimming pools When a cold front hits Florida, residential demand spikes signi cantly and can match the summertime air conditioning load..

This expression is in agreement with that derived by Sakurai [72]. Since both interconnection resistance and capacitance increase linearly with length, the propagation time expressed by Eq. (3.10.2) will increase nearly as the square of the interconnection length. It can be shown that this dependence can be made linear if the entire interconnection length is divided into smaller sections and each section is driven by a repeater. 3.10.2 Active Interconnection Driven by Minimum-Size Inverters

GEO UPLINK SUBSYSTEM (GUS)

The effect of Q, which refutes A, is more complex. Denote the effect of Q alone on the necessity of A by NecQ(A)i 1, and on the possibility of A by PosQ(A)i 1. Q tends to reduce the possibility of A. We assume PosQ (A)i 1 Pos(A)i > Nec(:Q) Pos(A)i > (:Nec(Q)) If we have several refuting propositions Qk , then (8.14) becomes: PosQ (A)i 1 Pos(A)i \

Table 3.2 A classi cation of adopters of innovations Innovators Early adopters Early majority Late majority Laggards 2.5% 13.5% 34% 34% 16%

FIGURE 2.3 Protocol stack for data ow in a BPON. The stack for control (initiating, terminating, and recovery of traf c ows) is not shown.

This failure of businesses to report lower-level incidents and the reluctance of police to aggressively tackle the issue only empowers the perpetrators and diminishes the victims. Ultimately, these unreported smaller incidents are precursors to larger acts of violence. If you don t deal with the simple assault, you may eventually have to deal with homicide.22

585.4 583.9 584.7 584.6

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