{"id":28042434,"url":"https://github.com/yashrajgithub/energy-consumption-analysis-using-power-bi","last_synced_at":"2026-01-26T13:07:00.456Z","repository":{"id":291269609,"uuid":"977130735","full_name":"Yashrajgithub/Energy-Consumption-Analysis-Using-Power-Bi","owner":"Yashrajgithub","description":"Analyze and visualize energy consumption data using Microsoft Power BI. 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It involves importing datasets, performing data cleaning and transformation, building interactive dashboards, and identifying trends in energy usage.\n\n## 🎯 Objectives\n\n- Visualize energy consumption patterns across various parameters (time, location, source, etc.).\n- Identify peak usage hours and seasonal trends.\n- Compare renewable vs non-renewable energy sources.\n- Generate insights to support sustainability goals and energy efficiency.\n\n## 🛠️ Tools \u0026 Technologies Used\n\n- **Power BI Desktop**\n- **Microsoft Excel / CSV Data**\n- **DAX (Data Analysis Expressions)**\n- **Power Query Editor**\n\n## 📁 Dataset Details\n\nThe dataset used in this project includes:\n\n- Timestamps of energy usage\n- Energy consumption values (kWh)\n- Location/region\n- Type of energy source (Renewable/Non-renewable)\n\n## 📈 Features \u0026 Insights\n\n- **Interactive Dashboards**: Slice and filter energy data by year, region, and source type.\n- **Trend Analysis**: Visual line charts showing energy consumption trends over time.\n- **Pie Charts \u0026 Bar Graphs**: Breakdown of renewable vs non-renewable energy usage.\n- **KPIs**: Total consumption, average daily usage, and % change over months.\n\n### 🔍 Dashboard Preview\n\n#### 1. Overview Dashboard\n![Overview Dashboard](https://github.com/Yashrajgithub/Energy-Consumption-Analysis-Using-Power-Bi/blob/main/Overview.png)\n\n#### 2. Energy Consumption Analysis\n![Energy Consumption](https://github.com/Yashrajgithub/Energy-Consumption-Analysis-Using-Power-Bi/blob/main/EnergyConsumption.png)\n\n## 🧹 Data Cleaning \u0026 Transformation\n\n- Handled missing or null values.\n- Converted timestamp formats to proper date/time values.\n- Created calculated columns and measures using DAX.\n- Grouped data by time intervals (monthly/yearly) for better analysis.\n\n## 📌 Key Learnings\n\n- Hands-on experience with Power BI for real-world business analysis.\n- Creating clean, informative, and dynamic reports.\n- Applying data transformation and DAX techniques effectively.\n\n## 🚀 How to Run the Project\n\n1. Open **Power BI Desktop**.\n2. Import the `.pbix` file or the raw CSV dataset.\n3. Use the Power Query Editor to clean and prepare the data.\n4. Explore the dashboards and reports.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyashrajgithub%2Fenergy-consumption-analysis-using-power-bi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyashrajgithub%2Fenergy-consumption-analysis-using-power-bi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyashrajgithub%2Fenergy-consumption-analysis-using-power-bi/lists"}