A0319
Title: Statistical methods for power demand and consumption time series at household level in Mexico
Authors: Jorge Gonzalez-Ordiano - Universidad Iberoamericana, A.C. (Mexico) [presenting]
Milagros Santos-Moreno - Universidad Iberoamericana Ciudad de Mexico (Mexico)
Karla Obermeier-Velazquez - Universidad Iberoamericana Ciudad de Mexico (Mexico)
Luis Cortes-Munoz - Universidad Iberoamericana Ciudad de Mexico (Mexico)
Jose Asse-Amiga - Universidad Iberoamericana Ciudad de Mexico (Mexico)
Luis Corral-Corona - Universidad Iberoamericana Ciudad de Mexico (Mexico)
Abstract: The risks associated with climate change have made the energy transition necessary. Nevertheless, transitioning to a more sustainable energy system raises several issues. For instance, the volatility of some renewable power sources can lead to power supply and demand fluctuations, making it difficult to maintain grid stability and reliability. Smart grids offer a promising solution to address these challenges thanks to the integration of advanced information and communication technologies, such as innovative machine learning-based forecasting models and control algorithms. However, the development of the Smart Grid is not without its challenges. For instance, in Mexico, the availability of energy-related data, particularly at the household level or from non-large urban areas, is often limited, thus complicating the development of Smart Grid technologies fine-tuned to the country's reality. For this reason, the first part of the talk will present the results of a project that collected consumption and demand time series from 5 households within a small community in Mexico at various resolutions. Afterwards, the talk will focus on the statistical methods being developed using the previously collected data to preprocess and forecast the time series and identify and analyze the possible demand flexibility.
