The problem SunWise AI solves

Under the Sustainable Development Track:
Solar power forecasting is a crucial tool for managing the intermittent nature of solar energy production, addressing challenges posed by weather variations.
By accurately predicting solar power output, it enables efficient grid management, ensuring stability and reliability in electricity supply. This forecasting not only optimizes energy production schedules but also minimizes costs by reducing reliance on backup power sources and avoiding penalties for deviation from forecasted generation levels.

Link: https://www.ceew.in/cef/quick-reads/explains/deviation-settlement-mechanism-dsm-and-its-impact

Additionally, it aids in making informed decisions in energy markets, facilitating fair competition and resource allocation. Compliance with regulations, such as deviation band requirements, is also facilitated, enhancing regulatory adherence and minimizing financial losses. Furthermore, accurate forecasting contributes to the safety of electricity transmission systems by preventing overloads and voltage fluctuations.
Overall, solar power forecasting promotes the use of renewable energy, mitigates environmental impact, and advances sustainable development efforts. With governments determined to reduce the carbon footprint for meeting their renewable energy targets, introduction of new segments, policies and markets for Green energy, a greener and brighter future for the world is inevitable.

Challenges we ran into

In chronological order:
1.Data Cleaning Complexity: Cleaning the data was labor-intensive, involving extensive analysis and consideration due to missing values, outliers, and inconsistencies.

2. Researching DSM and Solar Energy: Understanding Deviation Settlement Mechanism (DSM) and gathering relevant information on solar energy added complexity to the project's research phase.
3. Integration with Streamlit: Incorporating the model with Streamlit, a new technology for the team, required understanding its functionalities and implementation.
   4.Consistency Across Technologies: Maintaining consistency across various technologies proved challenging due to referencing multiple sources and differing implementation methodologies.