In this regard, we propose FORWARD, a forecasting model based on spatial Bayesian network (SpaBN) which has inherent capability of efficiently modeling the spatial impact of meteorological and ...

Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...

Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow. With the hands-on examples and ...

To tackle this issue, we propose a Bayesian method for tracking inertia in real-time for both synchronous and asynchronous generators, utilizing only ambient measurements. To circumvent the curse of ...