time-series data

[shyam.basnet]

Hi,
I have just started Learning TIMES model. I am currently going through DEMO models available in IEA-documentation.
In the DEMO excel file, I found the input data only for one Base year (e.g. 2005).
Asssume I have data on Energy Balance of production and consumption for many years, I wonder how i can feed-in such time-series data to the TIMES.

Or, Did I misunderstand the concept of TIMES-model?
If possible, may I ask you a DEMO model or file?
As I said, I have just started Learning this model. Please forgive me if I post too irrelevant question.

Thanks for your help,
Shyam Basnet,
Sweden

[Antti-L]

The ETSAP TIMES model generator is implemented in GAMS. There are about 250 different input attributes, of which about 170 are time-series attributes (TS attributes). Most of the TS attributes are multi-dimensional, and you can see the dimensions described in the documentation. For example, consider the exogenous demand projection attribute, COM_PROJ.  It has three dimensions: region, year, and commodity. You can define a time-series for the demand projection of any given region reg and commodity com by defining any number of values D(year), by setting COM_PROJ(reg,year,com)= D(year). Note also that the time-series attributes are usually automatically interpolated and extrapolated, and therefore even a single value is sufficient for defining a full time-series over the model horizon. Please consult the documentation about the default interpolation and extrapolation rules and the optional user-defined options for controlling it on a time-series basis.

When using VEDA-FE for the TIMES input data management, you can define the TS attributes for any desired years by specifying those years in the VEDA data tables.  In a ~FI_T table you can either add a Year column for specifying the year indexes, or you can use "postfix" year qualifiers in attribute columns specifying the year, e.g. COM_PROJ~2020, COM_PROJ~2030 etc. If you use an Attribute column, you can also use years directly as column headers in ~FI_T tables. In ~TFM_INS, ~TFM_DINS and ~TFM_UPD tables you can likewise use a Year column for specifying the year indexes. In a ~TFM_DINS-TS table you can use years directly as column headers, for defining the time-series data horizontally.

In summary, TIMES supports about 170 TS attributes, and VEDA-FE provides numerous and flexible ways of specifying the time-series data with Excel tables, arranging the time-series data either horizontally or vertically, and in ascending, descending, or even random year order.

[shyam.basnet]

Thanks a lot for detail information. I will go through the Excel files available in Demo models and come back to you if I have any questions.
Best,
Shyam.