  Smart energy systems in general, and solar energy analysis in particular,
have recently gained increasing interest. This is mainly due to stronger focus
on smart energy saving solutions and recent developments in photovoltaic (PV)
cells. Various data-driven and machine-learning frameworks are being proposed
by the research community. However, these frameworks perform their analysis -
and are designed on - specific, heterogeneous and isolated datasets,
distributed across different sites and sources, making it hard to compare
results and reproduce the analysis on similar data. We propose an approach
based on Web (W3C) standards and Linked Data technologies for representing and
converting PV and weather records into an Resource Description Framework (RDF)
graph-based data format. This format, and the presented approach, is ideal in a
data integration scenario where data needs to be converted into homogeneous
form and different datasets could be interlinked for distributed analysis.
