Type any city name → get a 48-hour temperature forecast plot, no CSV upload needed. Real weather data is fetched live from Open-Meteo (no API key required), all 15 Jena Climate features are ...

Abstract: This work presents a deep learning approach for short-term forecasting of active power in photovoltaic (PV) plants operating within islanded microgrids. Three forecasting schemes were ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...

With the increasing utilization of data in various industries and applications, constructing an efficient data pipeline has become crucial. In this study, we propose a machine learning ...

Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water ...

Loss (MSE) 0.00037 on SSN with 64-layer LSTM and 400 epochs. See the notebook. Interestingly, the network is trained on 66% of the SSN data but correctly predicts the weakness of solar cycle 24. John ...