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Intelligent PV Monitoring & Power Efficiency Prediction (ANN)

Applied AI + IoT project using neural networks to predict photovoltaic power efficiency from real-time operational telemetry.

PythonTensorFlowKerasScikit-learnPandasNumPyIoTAndroid (Xamarin)
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Training

1000 epochs

Evaluation

MSE, MAE, MAPE, R²

Delivery

mobile monitoring integration

Project Overview

Trained a feed-forward ANN on PV operational data, evaluated with regression metrics, and integrated outputs into a mobile monitoring interface.

Challenge

PV systems need reliable performance prediction to optimize output and detect anomalies early.

Solution

Built preprocessing and model-training pipelines for ANN-based efficiency prediction using IoT-collected inverter data.

Results

Achieved strong regression performance and integrated model outputs into a mobile app for practical operational visibility.

Media Gallery

ANN architecture
ANN architecture
Model evaluation metrics
Model evaluation metrics
Prediction results
Prediction results
Mobile app integration
Mobile app integration
Intelligent PV Monitoring & Power Efficiency Prediction (ANN) | Nasir Nasir-Ameen