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Energy related emissions are predicted from fuel use data, as reported to international statistical agencies by national agencies based on reports from companies in the main energy using sectors.
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Given the importance of sectoral specific shocks using sector specific employment levels will provide us with a more reflective and useful measure of Okun's Law.
Worldwide, the building sector represents the largest energy using sector, and it is still expanding.
The nonlinear system is represented locally by uncertain linear models using sector nonlinearities representation.
Our estimate for final demand could be refined using sector-specific income elasticities.
Furthermore, as substitution elasticities significantly differ across the 71 sectors, they recommend using sector-specific estimates in CGE models.
The transformation was done mathematically (see [22], for the methodology used) rather than by using sector-specific data.
Estimation of our model using sector-level tariff data for the U.S. provides strong support for this relationship.
An exact fuzzy observer model using sector nonlinearity was built for both nonlinear models; the observer gains were designed using Linear Matrix Inequalities (LMI's).
Using sector, concentric and gradient analyses, we determined that urban land has expanded dramatically during the past three decades with an average annual growth of 3.14%.
A 620 nm electroluminescent signal was generated and detected using Sector Imager 2400 (MSD, Gaithersburg, MD).
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