SolarEnergyManagement GitHub repository:
# SolarEnergyManagement
A modern desktop application built using **WPF (.NET Framework 4.8)** for real-time visualization, analytics, and forecasting of solar energy data. This system is designed to help solar energy operators monitor energy production, predict inverter failures, and access insightful forecasts.
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## 🌟 Features
- 📊 **Visualize Solar Data** from CSV files
- 🔮 **Forecast Energy Output** for the next day
- ⚙️ **Predict Inverter Failures** using built-in analytics
- 🤖 **Offline Chatbot** for user interaction and data insights
- 🗃️ **Data Management** for importing/exporting solar logs
- 🛠️ **Settings Panel** for customization
- 📺 **Background Video Support** using MediaElement
- 🧠 Powered by **BlenderBot & DeepSeek R1 models** (offline-capable)
- 📦 **Installer Included** (built using Inno Setup)
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## 📁 Modules
- `SolarDataAnalytics` – Handles data visualization & parsing
- `Forecast And Analytics` – Predicts next-day solar output
- `Inverter Failure Predicting` – Diagnoses potential hardware issues
- `SimpleChatBot` – Offline chatbot for data Q&A
- `Settings` – Manages user preferences
- `DataManagement` – Load, browse, and manage CSV datasets
- `AboutPage` – Shows project info with looping video background
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## 🖥️ Installation
> **Windows Only**
1. Download the [latest release](https://github.com/YourUsername/SolarEnergyManagement/releases).
2. Run the `.exe` installer built with Inno Setup.
3. Follow on-screen instructions.
4. Launch from desktop/start menu icon.
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## 🔧 Developer Setup
### Prerequisites
- Visual Studio 2019 or 2022
- .NET Framework 4.8
- Inno Setup (for installer)
### To Build:
1. Clone the repository:
```bash
git clone https://github.com/YourUsername/SolarEnergyManagement.git- Open
SolarEnergyManagement.slnin Visual Studio. - Build the solution (ensure all subprojects compile).
- Modify and run
SolarEnergyManagement.issto regenerate the installer.
This project is licensed under the Apache License 2.0 – see the LICENSE.txt file for details.
CodingMaster24 🔗 https://sivatech24.github.io/solar-power-dashboard-analysis/
(Add screenshots or GIFs of your dashboard here)