https://github.com/yashrajgithub/energy-consumption-analysis-using-power-bi

Analyze and visualize energy consumption data using Microsoft Power BI. This project includes interactive dashboards, trend analysis, and insights into renewable vs non-renewable usage for smarter energy decisions.
https://github.com/yashrajgithub/energy-consumption-analysis-using-power-bi

analysis dashboard energy-consumption excel pbix powerbi project

Last synced: 4 months ago
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Analyze and visualize energy consumption data using Microsoft Power BI. This project includes interactive dashboards, trend analysis, and insights into renewable vs non-renewable usage for smarter energy decisions.

• Host: GitHub
• URL: https://github.com/yashrajgithub/energy-consumption-analysis-using-power-bi
• Owner: Yashrajgithub
• License: mit
• Created: 2025-05-03T13:50:13.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-17T13:13:49.000Z (about 1 year ago)
• Last Synced: 2025-06-02T23:02:33.107Z (12 months ago)
• Topics: analysis, dashboard, energy-consumption, excel, pbix, powerbi, project
• Homepage:
• Size: 447 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# ⚡ Energy Consumption Analysis Using Power BI

## 📊 Project Overview

This project focuses on analyzing energy consumption data using **Microsoft Power BI** to derive actionable insights for better decision-making. It involves importing datasets, performing data cleaning and transformation, building interactive dashboards, and identifying trends in energy usage.

## 🎯 Objectives

- Visualize energy consumption patterns across various parameters (time, location, source, etc.).

- Identify peak usage hours and seasonal trends.

- Compare renewable vs non-renewable energy sources.

- Generate insights to support sustainability goals and energy efficiency.

## 🛠️ Tools & Technologies Used

- **Power BI Desktop**

- **Microsoft Excel / CSV Data**

- **DAX (Data Analysis Expressions)**

- **Power Query Editor**

## 📁 Dataset Details

The dataset used in this project includes:

- Timestamps of energy usage

- Energy consumption values (kWh)

- Location/region

- Type of energy source (Renewable/Non-renewable)

## 📈 Features & Insights

- **Interactive Dashboards**: Slice and filter energy data by year, region, and source type.

- **Trend Analysis**: Visual line charts showing energy consumption trends over time.

- **Pie Charts & Bar Graphs**: Breakdown of renewable vs non-renewable energy usage.

- **KPIs**: Total consumption, average daily usage, and % change over months.

### 🔍 Dashboard Preview

#### 1. Overview Dashboard

![Overview Dashboard](https://github.com/Yashrajgithub/Energy-Consumption-Analysis-Using-Power-Bi/blob/main/Overview.png)

#### 2. Energy Consumption Analysis

![Energy Consumption](https://github.com/Yashrajgithub/Energy-Consumption-Analysis-Using-Power-Bi/blob/main/EnergyConsumption.png)

## 🧹 Data Cleaning & Transformation

- Handled missing or null values.

- Converted timestamp formats to proper date/time values.

- Created calculated columns and measures using DAX.

- Grouped data by time intervals (monthly/yearly) for better analysis.

## 📌 Key Learnings

- Hands-on experience with Power BI for real-world business analysis.

- Creating clean, informative, and dynamic reports.

- Applying data transformation and DAX techniques effectively.

## 🚀 How to Run the Project

1. Open **Power BI Desktop**.

2. Import the `.pbix` file or the raw CSV dataset.

3. Use the Power Query Editor to clean and prepare the data.

4. Explore the dashboards and reports.