Time Series Analysis for Electrical Demand Forecasting

After more than ten years of the beginning of the research group in smart grids, as well as the positioning of the brand of the group known as GIREI and in which several of its members have achieved their doctoral studies, noticed the need for knowledge transfer to the classroom of undergraduate, masters and doctoral degree from their academic experiences. It is why Esteban, Alexander, Diego, Wilson, and Manuel have come together to produce this work that contains source code, pseudocode, and results that can help different engineering applications. This book is born within the first year of deploying Artificial Intelligence (ChatGPT, Poe, etc.), Educational Engineering, Education 5.0, and several advances in science and technology. The book proposes that the readers of the work can explore its applications and start with new research, as well as articulate results from different specialties. The chapters on georeferencing and network planning, multi-criteria analysis, power flow optimization, DC motor control, and power demand analysis have been generated from theory to practice based on the disciplinary knowledge of the authors, the pedagogical knowledge of several years of teaching and the technological expertise that characterizes them.