Dear colleagues,

We apologize if you received multiple copies of this CFP.

We would like to invite you to contribute with your work to this special issue.

MDPI Energies (IF 2019: 2.702)
Special Issue: "Energy Consumption in a Smart City"
Deadline: June 2021

Urban areas account for ~80% of world energy consumption. For this reason, to achieve Europe's 2030 Energy Strategy target of a 40% cut in greenhouse gas emissions compared to 1990 levels and at least 35.5% improvement in energy efficiency, it is crucial to reduce the energy impact of cities. To do so, it is necessary to involve all the stakeholders: energy providers, policymakers in the municipality, facility managers, and the citizens themselves, as energy consumption is influenced by this interconnected network of actors. Citizens need to be incentivized or educated to adopt a more sustainable lifestyle, policymakers require detailed information about the city to develop better policies, facility managers would benefit from data about the usage of buildings, and finally, energy providers could optimize the supply of energy to reduce waste.

A Smart City is the perfect environment to study and exploit the interactions between those actors because its architecture already integrates elements to collect data and connect to the citizens. Furthermore, the proliferation of Web platforms (e.g., social media, Web fora) and the increased affordability of sensors and IoT devices (e.g., smart meters) make data related to a large and diverse set of users accessible, as their activities in the digital world reflect their real-life actions. These new technologies can be of great use for the stakeholders as, on one hand, it provides them with semantically rich inputs and frequent updates at a relatively cheap cost and, on the other, it allows them to have a direct channel of communication with the citizens. 

To fully exploit these new data sources, we need both novel computational methods (e.g., AI, data mining algorithms, knowledge representation) that are suitable for analyzing and understanding the dynamic behind energy consumption, but also a deeper understanding of how these methods can be integrated into the existing design and decision processes (e.g., human-in-the-loop processes).

Therefore, this Special Issue welcomes original multidisciplinary research works about AI, data science methods, and their integration with existing design/decision-making processes in the domain of energy consumption in a Smart City.

Topics of interest include but are not limited to:

- New data sources for energy consumption modeling in a Smart City;
- Novel computational methods and applications to support data-driven energy planning and policymaking in a Smart City;
- Tools and applications to engage with the citizen to either raise awareness on energy consumption or involve them in the decision-making process;
- Use cases;
- Smart architecture of the energy systems.

Guest Editors:

Andrea Mauri
TU Delft, Netherlands
Quantia Consulting, Italy

Benedetto Nastasi
Sapienza University of Rome, Italy

For all the information: