Electrical Power Prediction and Analysis Using Timestamped Data

Description

This project involves the prediction and analysis of electrical power consumption based on timestamped data provided in the "Elec-train" dataset. The dataset contains information about power usage over time, enabling a detailed exploration of trends and patterns.
The following deliverables were prepared:
Excel File: Contains the predictions and analyzed data, formatted for clarity and ease of interpretation.PDF Report: A concise yet comprehensive document (maximum 10 pages) detailing the methodology, analysis, and insights drawn from the data.R Code Notebook: An R script detailing all steps, including data preprocessing, exploratory data analysis, predictive modeling, and visualization, ensuring reproducibility and transparency.The goal of this project is to provide actionable insights and reliable predictions for power usage trends, meeting the specifications outlined in the provided instructions. Delivered well before the deadline, the work reflects diligence and attention to detail, ensuring its relevance to the intended objectives.