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Integrated data driven optimisation for sustainable energy distribution networks in Portugal - electric vehicle charging infrastructure
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Energy distribution Energy Electric vehicles Electric vehicle charging points Zero emissions resilient (Zer) Voltage level Population density Charging points density Electric mobility Economic factors Populational factors Environmental factors