Electro-Demand

[AnjaliRaj015]

Project's End goal:
This project aims to leverage historical energy consumption data, weather patterns, socio-economic factors, and other relevant variables to build a predictive model capable of accurately forecasting electricity demand. The AI model will employ advanced machine learning techniques, including time series analysis, deep learning, and data fusion, to generate reliable forecasts on multiple time scales, ranging from hourly to seasonal.

The benefits of this AI-powered demand forecasting system are multi-fold. Firstly, it will enable Kerala's power authorities to optimize the utilization of available water resources in its dams by predicting electricity demand with high accuracy. This optimization will help conserve water during dry seasons and alleviate the adverse impact of power shortages on the population. Secondly, by harnessing the power of accurate demand forecasts, this system will facilitate the efficient integration of solar energy into the grid. The surplus energy generated during periods of low demand can be stored or redirected to other regions, enhancing overall energy sustainability.

Problem I am solving:
Electricity demand prediction is crucial for efficient energy management. The goal is to create a tool that helps utility companies anticipate demand, optimize energy production, and make informed decisions about resource allocation and generate the response using open ai API for text generation based on the context of the output generated by the model.