Skip to main content
Kaggle

Solar Power Generation & Weather Forecasting

Smart City
95 views
1 min read
License

Abstract

"Readings from solar power inverters paired with local weather station data to predict energy generation efficiency."

Description

Description

This dataset combines two sources: power generation logs from solar inverters and environmental readings from weather sensors.

Features

  • Power: DC Power (kW), AC Power (kW).
  • Weather: Ambient Temperature, Module Temperature, Irradiation.

Goal

Optimize grid distribution by forecasting solar output based on weather conditions.

Data Preview

DateTimeDC_PowerAC_PowerAmbient_TempIrradiation
2024-05-15 12:001250.5120.432.50.85
2024-05-15 12:151240.2119.832.80.83

Showing first few rows for preview

Cite This Dataset 

Kaggle (2026). Solar Power Generation & Weather Forecasting. [Dataset]. Kaggle. https://www.kaggle.com/datasets/anikannal/solar-power-generation-data

Source: Kaggle (2026)

Indexed by IoTDataset.com on Jan 12, 2026

Ready to Start Your Research?

Download this dataset directly from the official repository and start building your next breakthrough project.

Download Dataset

Related Topics & Keywords

#solar energy #renewable energy #smart grid #weather forecasting #energy efficiency

Share This Research

More in Smart City

View All
Smart City Kaggle

Smart Urban Sensor Network Data

Integrated multi-modal data from smart urban sensor network including vehicle traffic, power consumption, and environmental monitoring.

Feb 19, 2026
Smart City EPFL

pNEUMA: Large-Scale Naturalistic Trajectories Dataset

pNEUMA is a large-scale dataset of naturalistic vehicle trajectories from half a million vehicles in Athens, Greece, collected via a swarm of drones for traffic congestion research.

Feb 15, 2026
Smart City External

AirIoT: IoT-Based Air Pollution Monitoring Dataset

AirIoT is an open-access dataset for IoT-based air pollution monitoring, featuring real-time sensor readings for PM2.5, PM10, temperature, and humidity from urban deployments.

Feb 15, 2026
Smart City Zenodo

A Multi-Year Urban Streetlight Imagery Dataset for Visual Monitoring and Drift Detection

A longitudinal visual dataset of urban streetlight scenes captured daily over several years including 2025, accompanied by structured metadata for smart city monitoring, drift detection, and anomaly analysis. Includes over 526,000 images with timestamps and GPS metadata, enabling vision-based model training in urban environments.

Feb 07, 2026