Project/scholarship details
- Project/scholarship ID
137220
- Reference
MITP-TB/CS/0026/2013
- FundRef URI
- Funder
FCT - Fundação para a Ciência e a Tecnologia, I.P.
- Funder's country
Portugal
- Funding program
5665-PICT
- Funding amount
1,253,000.00 €
- Start date
2015-01-01
- End date
2018-06-30
Documents
The potential of energy behaviours in a smart(er) grid: Policy implications fro...
Lopes, Marta A.R.; Antunes, Carlos Henggeler; Janda, Kathryn B.; Peixoto, Paulo; Martins, NelsonThe transition to smart grids is an on-going process that may both shape and be shaped by end-users' energy behavioural adaptations. This study explores current and potential energy behavioural adaptations in Portugal during the smart grid transition process. A web-based survey was made to a representative sample of a specific segment of Portuguese residential end-users. The survey evaluated current energy beha...
Data models in NoSQL databases for big data contexts
Santos, Maribel Yasmina; Costa, CarlosData models are a central piece in information systems, being the relational data models very popular and extensively used. In Big Data, and due to the characteristics of the NoSQL databases, the data modeling task is seen in another perspective, as those databases are considered schema-free. Nevertheless, these databases also need data models that ensure the proper storage and querying of the data. Considering...
Data warehousing in big data: from multidimensional to tabular data models
Santos, Maribel Yasmina; Costa, CarlosData warehouses are central pieces in business intelligence and analytics as these repositories ensure proper data storage and querying, being supported by data models that allow the analysis of data by different perspectives. Those perspectives support users and organizations in the decision-making process. In Big Data environments, Hive is used as a distributed storage mechanism that provides data warehousing...
Reinventing the energy bill in smart cities with NoSQL technologies
Costa, Carlos; Santos, Maribel YasminaWith the increasing use of electrical devices, cities consume more energy to sustain their daily activities, facing more challenges associated with energy control and distribution. This chapter revisits a previously proposed architecture to extract, load, transform, mine and forecast Big Data within a Smart City context, in order to discuss the adequacy of NoSQL databases to deliver a Smart City service that re...
BASIS: A big data architecture for smart cities
Costa, Carlos; Santos, Maribel YasminaNowadays, cities are the common choice for living, representing a complex system where governments need to perform adequately, despite current restrictions, in order to satisfy the needs of the citizens and overcome economic, social and environmental sustainability challenges. The Smart City term emerges to conceptualize the need to understand citizens, namely their services demand and their relevance in a part...
Big Data: state-of-the-art concepts, techniques, technologies, modeling approac...
Costa, Carlos; Santos, Maribel YasminaCurrent advancements in Information Technologies (IT) lead organizations to pursue high business value and competitive advantages through the collection, storage, processing and analysis of huge amounts of heterogonous data, generated at ever increasing rates. Data- driven organizations are often seen as environments wherein the analysis and understanding of products, people and transactions are of major releva...
Metadata for the energy performance certificates of buildings in smart cities
Baptista, Ana Alice; Silva, Sara CatarinaSusCity is a MIT Portugal project that falls within the scope of smart cities. One of its tasks aims to research and develop metadata artefacts to be used in the scope of a Linked Open Data platform. In this article, we report the process and results associated with the development of the following metadata artefacts: an application profile, a metadata schema and four controlled vocabularies. The application fi...
The SusCity big data warehousing approach for smart cities
Costa, Carlos; Santos, Maribel YasminaNowadays, the concept of Smart City provides a rich analytical context, highlighting the need to store and process vast amounts of heterogeneous data flowing at different velocities. #is data is defined as Big Data, which imposes significant difficulties in traditional data techniques and technologies. Data Warehouses (DWs) have long been recognized as a fundamental enterprise asset, providing fact-based decisi...
Evaluating SQL-on-Hadoop for Big Data warehousing on not-so-good hardware
Santos, Maribel Yasmina; Costa, Carlos; Galvão, João; Andrade, Carina; Martinho, Bruno Augusto; Lima, Francisca Vale; Costa, EduardaBig Data is currently conceptualized as data whose volume, variety or velocity impose significant difficulties in traditional techniques and technologies. Big Data Warehousing is emerging as a new concept for Big Data analytics. In this context, SQL-on- Hadoop systems increased notoriety, providing Structured #ery Language (SQL) interfaces and interactive queries on Hadoop. A benchmark based on a denormalized v...
The data scientist profile and its representativeness in the European e-Compete...
Costa, Carlos; Santos, Maribel YasminaThe activities in our current world are mainly supported by data-driven web applications, making extensive use of databases and data services. Such phenomenon led to the rise of Data Scientists as professionals of major relevance, which extract value from data and create state-of-the-art data artifacts that generate even more in- creased value. During the last years, the term Data Scientist attracted significan...
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