Robust space–time modeling of solar photovoltaic deployment
نویسندگان
چکیده
Solar photovoltaic (PV) has established itself as a fairly promising, fast-growing renewable energy source. The main determinants of solar PV deployment are thought to be physical and climatic factors – such latitude irradiance, not mention terrain built environment features well socio-economic drivers — population density, household size, education level. Besides, peer effects neighborhood found affect the willingness adopt systems strongly. This study aims set up robust space–time models, which enable us investigate using fine-grained spatial temporal data. We use auto-regressive models (STAR) with several exogenous covariates that expected explain installed capacity. STAR require specification weight matrices (W). As in regular lattice data, we select causal (lower triangular) W so consistency least-squares (LS) estimators is warranted. show they can extended LS estimators, necessary because strong outlier contamination. Models tested on Italian municipal data residential industrial plants under support schemes force between 2006 2011. Empirical results confirm important role played by dynamic components. Significant predictors domains (elevation land area), demography (population), (residential buildings), aspects (income, employment rate, commuter workers).
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ژورنال
عنوان ژورنال: Energy Reports
سال: 2021
ISSN: ['2352-4847']
DOI: https://doi.org/10.1016/j.egyr.2021.07.087