Ontology highlight
ABSTRACT:
SUBMITTER: Fontana M
PROVIDER: S-EPMC6592564 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Fontana Matteo M Tavoni Massimo M Vantini Simone S
PloS one 20190625 6
Smart energy meters generate real time, high frequency data which can foster demand management and response of consumers and firms, with potential private and social benefits. However, proper statistical techniques are needed to make sense of this large amount of data and translate them into usable recommendations. Here, we apply Functional Data Analysis (FDA), a novel branch of Statistics that analyses functions-to identify drivers of residential electricity load curves. We evaluate a real time ...[more]