Integrated data driven optimisation for sustainable energy distribution networks in Portugal - electric vehicle charging infrastructure

Abstract

This thesis combines several research projects focusing on sustainable energy and utility services. It examines the relationship between network connectivity and utility service continuity, the adoption of Self-Consumption Small Production Unit for Self-Consumption (UPACs) in Portugal, the expansion of Electric Vehicle (EV) Charging Points Equipment (CPEs) in municipalities, and the effectiveness of electric load forecasting models. The findings reveal a complex relationship between network requests and service continuity, a significant influence of environmental factors on UPAC adoption, complex factors driving EV infrastructure, and the superior accuracy of SARIMAX over XGBoost in forecasting. These insights provide valuable guidance for Portugal's policymaking, infrastructure development, and energy management.