Assessing future electricity demand profiles for a Discom and developing an open source demand forecasting tool
The project aims to develop an open source analytical tool for assessing expected/likely demand profile for next few years which helps key stakeholders in the power sector to enable better policy making. The study comprises of two parts –
- Assessing the future demand profile for a utility under different consumption scenarios
- Development of open source analytical tool for assessing the future demand profile
DISCOM Electricity Forecasting Tool (DEFT)
Transformation of the power sector is seen as an important step in achieving India’s Intended Nationally Determined Contributions (INDCs). This calls for well-planned and robust interventions— both on the supply side and demand side. On the supply side, the Government of India has notified ambitious plans to increase the share of green energy and on the demand side substantive measures are already in place to better manage the consumption patterns. All this and the concerted efforts to provide 24×7 affordable supply to all along with disruptive changes taking place in terms of growth of distributed energy sources (especially, solar rooftop systems) and electric vehicles make it extremely important to forecast, in advance, the demand utilities have to meet. Such forecasts are required for developing appropriate policy and regulatory interventions as well as for utility-level power system planning and operations.
In this regard, The Energy and Resources Institute (TERI), along with support from Shakti Sustainable Energy Foundation (SSEF), has launched an analytical tool to forecast future electricity demand profile known as DISOCM Electricity Forecasting Tool (DEFT).
DEFT is a unique tool in the segment of electricity demand forecasting to assess the future demand profiles of a distribution utility and enable them to foresee the impact of various improvements in end-user profiles through scenario-based predictive techniques.
You can access the tool by clicking below:
