Generation of coherent scenarios for medium-term forecasting using machine learning techniques

E.F. Sánchez-Úbeda A. Muñoz J. Portela J. Pizarroso

Funding entity Inter-American Development Bank (IDB)

The COVID 19 Pandemic crisis have obliged governments around the world to take robust measures to stop the contact between people. The measures are different between countries, but it is expected important effects in the economy, in the social behaviors and as a result in the energy demand.

The aim of this project is to implement a model to explain the electricity demand in a set of Latin America and the Caribbean (LAC) countries in order to evaluate the impact of COVID 19 pandemic crisis in the demand. Those models are used to establish, for each LAC country, possible medium-term recovery energy demand scenarios.

Research topics:
• *Forecasting and Data Mining
• Energy data analytics
• Data analytics

DEMCOVID-BID-2020

Technical reports:
A. Muñoz, E. Chueca, E.F. Sánchez-Úbeda, J. Portela, M. Carvalho, Impacto del COVID-19 en la demanda de energía eléctrica en Latinoamérica y el Caribe. Project: DEMCOVID-BID-2020. Funded by Inter-American Development Bank (IDB). .