Although the sector of renewable energies has gained a significant role, companies still encounter considerable barriers to scale up their business. This is partly due to the way data and information are (wrongly) managed. Often, data is: partially available, noisy, inconsistent, sparse in heterogeneous sources, unstructured, represented through nonstandard and proprietary formats. As a result, energy planning tasks are semi-automatic or, in the worst cases, even manual. As a result, the process that uses such data is exceedingly complex and results to be error-prone and ineffective.