Electricity Consumption Predictor

A smart web-based platform for forecasting electricity consumption and peak demand using historical data, temperature trends, and predictive modeling.

Turkey Electricity Consumption Predictor is an AI-powered web platform for forecasting electricity consumption and peak demand across Turkey using historical training data, temperature trends, and the Prophet time-series forecasting algorithm. The system analyzes past electricity consumption patterns and environmental factors to generate monthly forecasts that support energy planning, demand prediction, and sustainability decisions.

Features

How It Works

  1. Data Collection: Collect historical electricity consumption, temperature, peak demand, and energy source data for Turkey.
  2. Training Data Preparation: Clean, format, and structure the historical dataset to prepare it for Prophet time-series forecasting.
  3. Prophet Model Development: Build an AI forecasting model using the Prophet algorithm to predict monthly electricity consumption and demand trends.
  4. Model Training: Train the Prophet model using historical electricity consumption and temperature-related training data.
  5. Forecast Generation: Generate monthly electricity consumption forecasts and peak demand predictions from the trained model.
  6. Forecast Evaluation: Compare predicted values with historical records to evaluate forecasting accuracy and improve the model.
  7. Dashboard Integration: Display Prophet forecast results, trends, confidence intervals, and visual analytics inside the web dashboard.

Technology