This study aims to provide an accurate and realistic prediction model for electricity demand using population, imports, exports, per capita Gross Domestic Product (GDP) and per capita Gross National Income (GNI) data for India. Four different models were used for different combinations of the above five input variables and the effect of input variables on the estimation of electricity demand ha...

We present an economically efficient framework for provision of essential input for QoS-aware IP network planning. Firstly, we define a process for reuse of network accounting data for construction of a QoS-aware network demand matrix. Secondly, we define a process for estimation of QoS-related effective bandwidth coefficients from packet traces collected per traffic classe. Taken together, the...

The planning of production capacity for a company has been extensively discussed in literature. Seasonal demand of products or seasonal availability of input materials can make the problem even more challenging, as due to a constant need for capacity adjustments. For example, in contrast to conventional chemical processes, the use of biomass has several distinct characteristics like a time depe...

The future operations of transportation systems involve enormous uncertainty – in both input and model parameters. This work investigates the stability of contemporary transport demand model output by quantifying variability in model input, such as zonal socioeconomic data and trip generation rates. It simulates the propagation of their variation through a series of common demand models over a ...

Two-thirds of education production function studies relating learning to school and parental inputs also include parental income. This confounds demand and production functions, since in demand functions income determines the school inputs used in the production function. In a comprehensive review of the literature, we show that with this misspecification significantly positive school input coe...

In this paper, we consider the problem of demanding fixed aggregated output from producers for an equitable allocating of new input. In many applications, there is often a fixed input and output which are imposed on all decision making units. In such situations, the choice of an allocation pattern often seems to be rather subjective. This paper, presents a method for obtaining an equitable allo...

in this study the trend of technological change and its nature was studied in production of sugar beet in iran by using dual approach. this approach is useful for estimating the demand structure of the input price change and technology status. after estimating the various forms of flexible functions, by selection of translog cost function with cost share equations system is estimated using seem...

Short-term water demand modeling plays a key role in urban water resources planning and management. The importance of demand prediction is even greater in countries like Iran with frequent periods of drought. Short-term water demand estimation is useful for planning and management of water and wastewater facilities such as pump scheduling, control of reservoirs and tanks volume, pressure manage...

parsing of string updates and user input Kyung-Goo Doh , Hyunha Kim, and David A. Schmidt ⋆⋆ 1 Hanyang University, Ansan, South Korea 2 Kansas State University, Manhattan, Kansas, USA Abstract. We extend our formulation of demand-driven, static-analysisbased, abstract parsing of the strings generated by PHP scripts to include strings that are generated from string-replacement operators and user...

Advances in nanoelectronic fabrication have enabled integrated circuits to operate at a high frequency. The finite impulse response (FIR) filter needs only to meet real-time demand. Accordingly, increasing the FIR architecture’s folding number can compensate the high-frequency operation and reduce the hardware complexity, while continuing to allow applications to operate in real time. In this w...