  PM-Gati-Shakti Initiative, integration of ministries, including railways,
ports, waterways, logistic infrastructure, mass transport, airports, and roads.
Aimed at enhancing connectivity and bolstering the competitiveness of Indian
businesses, the initiative focuses on six pivotal pillars known as
"Connectivity for Productivity": comprehensiveness, prioritization,
optimization, synchronization, analytical, and dynamic. In this study, we
explore the application of these pillars to address the problem of "Maximum
Demand Forecasting in Delhi." Electricity forecasting plays a very significant
role in the power grid as it is required to maintain a balance between supply
and load demand at all times, to provide a quality electricity supply, for
Financial planning, generation reserve, and many more. Forecasting helps not
only in Production Planning but also in Scheduling like Import / Export which
is very often in India and mostly required by the rural areas and North Eastern
Regions of India. As Electrical Forecasting includes many factors which cannot
be detected by the models out there, We use Classical Forecasting Techniques to
extract the seasonal patterns from the daily data of Maximum Demand for the
Union Territory Delhi. This research contributes to the power supply industry
by helping to reduce the occurrence of disasters such as blackouts, power cuts,
and increased tariffs imposed by regulatory commissions. The forecasting
techniques can also help in reducing OD and UD of Power for different regions.
We use the Data provided by a department from the Ministry of Power and use
different forecast models including Seasonal forecasts for daily data.
