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Smart Electricity Price Prediction Project by ipsit9009 is a document available to read on EtoBox.

The project aims to develop a machine learning model for predicting daily electricity prices and implementing dynamic pricing strategies to optimize energy costs for businesses. It addresses the challenges of price variability in energy-intensive operations and utilizes a historical dataset for accurate forecasting. The project promotes cost savings, efficient energy use, and supports sustainable practices by integrating renewable energy sources.

Author
ipsit9009
Language
EN