Renewable Energy Forecasting API

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Renewable Energy Forecasting API

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₹4,999.00

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₹4,999.00

Overview
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Detail Description

Abstract

Renewable Energy Forecasting focuses on predicting energy generation from sources like solar and wind using historical weather data, time series analysis, and machine learning models. Accurate forecasting helps optimize power grid management, reduce energy waste, and support sustainable energy planning.

Existing System

Relies on manual estimation and basic statistical methods
Limited accuracy due to weather variability
Poor real-time adaptability
Inefficient energy distribution and storage planning

Proposed System

Uses machine learning and time series models (ARIMA, LSTM, Regression)
Integrates real-time weather and historical data
Provides accurate short-term and long-term forecasts
Enhances grid stability and renewable energy utilization

Software Requirements

Python
Libraries: Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Matplotlib
Jupyter Notebook / VS Code
Flask or FastAPI (for API deployment)

Hardware Requirements

Minimum 4 GB RAM (8 GB recommended)
Multi-core processor
Internet connection for weather API data
Optional GPU for deep learning models

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