www.enreport.com

A very interesting page for general energy models. You can download and use them for policy analysis. Check the elibrary for useful papers.

Check:

http://www.millennium-institute.org/resources/elibrary/index.html#models

World Energy Projection system is an old model that Department of Energy, US once used for some of their projections. It looks like more of an accountant's balance sheets, but you can download and check the validity of the model for fun, it will be a good exercise.

Model can be downloaded from here and documentation is here. In the document you can find the relevant informations about using the files.

"The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the U.S. Department of Energy. WEPS is an integrated set of personal computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product [GDP]), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook."

http://www.eia.doe.gov/oiaf/ieo/weps/
Doc: http://tonto.eia.doe.gov/FTPROOT/modeldoc/m05097.pdf

If you are one those experts that do not submit yourself to international climate change groups and have enough knowledge to built your own scenarious, there is tool that can help you.
It is free of charge, just press download in the following site, and submit the form, then you will be directed to a page to download one big chunk of model and files. (Size: 160 MB). The name of the program is Magicc/Scengen. It does all sorts of things. Web page is at the end of this post.
The following information is from the website:

"MAGICC consists of a suite of coupled gas-cycle, climate and ice-melt models integrated into a single software package. The software allows the user to determine changes in greenhouse-gas concentrations, global-mean surface air temperature, and sea level resulting from anthropogenic emissions"



MAGICC/SCENGEN Overview:
MAGICC and SCENGEN are coupled, user-friendly interactive software suites that allow users to investigate future climate change and its uncertainties at both the global-mean and regional levels. MAGICC carries through calculations at the global-mean level using the same upwelling-diffusion, energy-balance climate model that has been and is employed by IPCC. SCENGEN uses these results, together with spatially detailed results from the CMIP3/AR4 archive of AOGCMs, to produce spatially detailed information on future changes in temperature, precipitation and MSLP, changes in their variability, and a range of other statistics.
In running MAGICC/SCENGEN, the user can intervene in the design of the global or regional climate change scenario in the following ways:
By selecting and/or specifying the greenhouse gas and sulfur dioxide emissions scenarios.
By defining the values for a limited set of climate model parameters in MAGICC that are important in determining the effects of uncertainties in the carbon cycle, the magnitude of aerosol forcing, the overall sensitivity of the climate system to external forcing, and ocean mixing rate.
By specifying the future time period for which results are displayed (out to 2400).
By specifying the AOGCMs that are averaged to produce the climate change pattern information.
By selecting an area or region for spatial averaging of climate change results.
This version of MAGICC/SCENGEN was developed primarily with funding from the U.S. Environmental Protection Agency, but it rests on developments carried out over the past 20 years that were funded by a number of organizations.

Download from here:

The happy days are over and we cannot have a good prediction for the end of this recession. Energy demand is highly correlated with economic growth. For developed countries, energy demand growth is less than the economic growth, on the other hand for developing nations it may be more than the economic growth.
So to forecast energy demand, oil prices and new investment cycle, economic forecasts are very important.
Recently econbrowser.com website has a very interesting post to read. It may need some econometric background but the main point is quite clear. Will the rebound from the recession start with a big jump or just average?
Answers vary, and if you read the post and relevant links, there are two explainations:
1. It will be higher than normal : (Trend stationary)
"suppose that the economy is down because people are postponing the purchases of cars and other goods out of fear. That would be a trend-stationary story, because it suggests a nice rebound when people get over their fear."
2 . It will be just around average: (Unit root)
"Suppose that the economy is down because we accumulated the wrong types of physical capital (houses) and human capital (skills in mortgage securitization). That is a unit-root type problem. Yes, the economy will start growing again at some point, but that misallocation of physical and human capital is a permanent loss. We are not going to make up for it with some above-normal growth."

The detailed explanations and models worth reading:

From EconBrowser.com

A simple regression of log GDP on a time trend and lagged log GDP, over the 1967q1-08q4 period yields the following:

y_t = 0.424+0.0004time + 0.945y_t-1

Where Adj-R² = 0.9995, SER = 0.008

The AR1 coefficient of 0.945 (se = 0.03) implies a half life of 12.25 quarters, or slightly over 3 years for a deviation from output. Since AR coefficients are biased downward, this is a downwardly biased estimate of the half life.

Brad de Long's Blog

A more technical article about this issue:
Unit root or trend stationary
from Greg Mankiw's Blog