A Machine Learning Perspective for Data Analytics in Solar Powered Weather Station using IoT
In one sentence. Describes a solar-powered IoT weather station with a machine learning model to predict local weather conditions in Mangalpalli; results are not quantified.
Abstract
Abstract: In the context of actions for small cities, CVR Solar Powered Weather Station has been developed to monitor changes in Weather. Users can find out the weather changes in the area and can plan their day-to-day activities. In several important productive areas, such as farming, the climate plays a crucial role. These days, there is a lot of climate change, which is why it is bothersome that old weather forecasts are growing closer and less accurate. Therefore, miles are crucial to embellishing and modifying the weather forecast model. To cater the needs of current socio-economic changes, a solar powered IoT Based Weather Monitoring System plays a vital role in predicting changes in weather. A Machine Learning Model to Predict Weather Conditions in Mangalpalli Area is presented in the article. Index Terms: LoRaWAN Gateway, Machine Learning Model, Photosynthetically Available Radiation, Total Solar Radiation
Labels
- Topic
- Local & station forecasting
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W7220134854
- Added
- 2026-10-22
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