Challenge background
India is the world's third-largest producer and third-largest consumer of electricity. The national electric grid in India has an installed capacity of 370.106 GW as of 31 March 2020. Renewable power plants, which also include large hydroelectric plants, constitute 35.86% of India's total installed capacity. During the 2018-19 fiscal year, the gross electricity generated by utilities in India was 1,372 TWh and the total electricity generation (utilities and non-utilities) in the country was 1,547 TWh. The gross electricity consumption in 2018-19 was 1,181 kWh per capita. In 2015-16, electric energy consumption in agriculture was recorded as being the highest (17.89%) worldwide. The per capita electricity consumption is low compared to most other countries despite India having a low electricity tariff. In light of the recent COVID-19 situation, when everyone has been under lockdown for the months of April & May the impacts of the lockdown on economic activities have been faced by every sector in a positive or a negative way. With the electricity consumption being so crucial to the country, we came up with a plan to study the impact on energy consumption state and region wise.
Project timeline
- 1
Week 1
Collection of Data Visualizing Data
- 2
Week 2
Using EDA
- 3
Week 3
Finding Machine Learning Model
- 4
Week 4
Training , Testing Model
- 5
Week 5
Checking Accuracy of that Model
- 6
Week 6
Using Another Models Also If Accuracy is not better
- 7
Week 7
Web Page For That Machine Learning Model
What you'll learn
Machine Learning Data collection EDA Data cleaning Data visualization