Smart cities continuously develop into highly sophisticated bionetworks, providing both smart services
and ground-breaking solutions. These bionetworks consider Smart Cities as a mechanism to produce data
from multiple sharing engines, creating new challenges towards the implementation of effective Smart
Cities and innovative services. The purpose of this paper is to relate Data Mining techniques and Smart
City projects along with a systematic literature review that distinguishes the main topics and methods
applied. The survey emphasizes on various components of Smart Cities, such as data harvesting and data
mining activities over city data collected. It also addresses two research questions: a) can we forecast
electricity consumption and traffic load based on past data, as well as meteorological conditions? b) which
attributes are more suitable for prediction and / or decision support upon energy consumption issues?
Results have shown that for both cases, various models can be built based on weather data collected.
