Mansour-Essgaer/Northern-Benghazi-Power-Plant-Dataset
Domaine:
environment and energyType de record:
dataset
Créateur:
Man
Hôte:
The Northern Benghazi Electrical Load & Weather Dataset combines historical electricity consumption records with meteorological data for Benghazi, Libya.
# Northern Benghazi Electrical Load & Weather Dataset
### A Weather-Informed Electricity Load Forecasting Dataset
## 📌 Overview
The **Northern Benghazi Electrical Load & Weather Dataset** combines historical electricity consumption records with meteorological data for **Benghazi, Libya**.
This dataset was curated to develop and benchmark a **Convolutional Neural Network (CNN)** framework for short-term load forecasting. It integrates specific power plant measurements with external weather data to address the challenges of predicting electricity demand in arid climates where temperature and humidity fluctuations significantly impact grid stability.
## 📊 Dataset Specifications
| Attribute | Value |
| --- | --- |
| **Time Period** | January 1, 2019 – December 31, 2019 |
| **Location** | Benghazi, Libya (Northern Benghazi Power Plant) |
| **Resolution** | Daily |
| **Target Variable** | Electrical Load (MW) |
| **Peak Load** | ~1,600 MW (Summer) |
| **Minimum Load** | ~1,200 MW (Winter) |
| **Key Insight** | Strong correlation between summer temperature spikes and peak load (AC demand). |
---
## 📁 Data Features
The dataset consists of two primary sources: internal measurements from the power plant and external historical weather data.
### 1. Power Plant Data (NBPP)
Collected directly from the Northern Benghazi Power Plant (NBPP).
| Feature | Description | Unit |
| --- | --- | --- |
| **`Load`** | Electrical load at time *t* | Megawatt (MW) |
| **`Temperature`** | Ambient temperature recorded at the plant | Celsius (°C) |
| **`Humidity`** | Relative humidity recorded at the plant | Percentage (%) |
### 2. External Weather Data
Sourced from historical weather and climate archives.
| Feature | Description | Unit |
| --- | --- | --- |
| **`Temperature`** | Regional ambient temperature | Celsius (°C) |
| **`Dew Point`** | Dew point temperature | Celsius (°C) |
| **`Humidity`** | Regional relative humidity | Percentage (%) |
| **`Wind Speed`** | Wind speed | km …