The annual gas demand forecasting in air-source gas-fired absorption heat pumps

Forecasting Natural Gas Demand Using Meteorological Data: Neural Network Method

The need for prediction and patterns of gas consumption especially in the cold seasons is essential for consumption management and policy planning decision making. In residential and commercial uses which account for the bulk of gas consumption in the country the effects of meteorological variables have the highest impact on consumption.  In the present research four variables include daily ave...

Multistage quantum absorption heat pumps.

It is well known that heat pumps, while being all limited by the same basic thermodynamic laws, may find realization on systems as "small" and "quantum" as a three-level maser. In order to quantitatively assess how the performance of these devices scales with their size, we design generalized N-dimensional ideal heat pumps by merging N-2 elementary three-level stages. We set them to operate in ...

Gas demand forecasting and transmission and distribution tariffs (1999)

ABARE project 1653 Natural gas demand forecasts are used by regulatory bodies when setting transmission and distribution tariffs. Reviews of current forecasting methodology used by gas companies indicate that the current approaches may be inappropriate for forecasting gas demand. The modeling methodology for gas demand forecasting and the implications of the results for the regulation of transm...

Probabilistic wind power forecasting and its application in the scheduling of gas-fired generators

Accurate information regarding the uncertainty of short-term forecast for aggregate wind power is a key to efficient and cost effective integration of wind farms into power systems. This paper presents a methodology for producing wind power forecast scenarios. Using historical wind power time series data and the Kernel Density Estimator (KDE), probabilistic wind power forecast scenarios were ge...

Ground-source (geothermal) Heat Pumps