A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Identifying services for short-term load forecasting using data driven models in a Smart City platform
The paper describes an ongoing work to embed several services in a Smart City architecture with the aim of achieving a sustainable city. In particular, the main goal is to identify services required in such framework the requirements and features of a reference architecture to support the data-driven methods for energy effciency monitoring or load prediction. With this object in mind, a use case of short-term load forecasting in non- residential buildings in the University of Girona is provided, in order to practically explain the services embedded in the described general layers architecture. In the work, classic data-driven models for load forecasting in buildings are used as an example. This paper is supplemented by a dataset accessible in the below link: https://doi.org/10.5281/zenodo.3461703 ; This research project has been partially funded through BR-UdG Scholarship of the University of Girona granted to Joaquim Massana Raurich. Work developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014-2016), the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R) and the European Union Horizon 2020 research and innovation programme under grant agreement No 680708.
Identifying services for short-term load forecasting using data driven models in a Smart City platform
The paper describes an ongoing work to embed several services in a Smart City architecture with the aim of achieving a sustainable city. In particular, the main goal is to identify services required in such framework the requirements and features of a reference architecture to support the data-driven methods for energy effciency monitoring or load prediction. With this object in mind, a use case of short-term load forecasting in non- residential buildings in the University of Girona is provided, in order to practically explain the services embedded in the described general layers architecture. In the work, classic data-driven models for load forecasting in buildings are used as an example. This paper is supplemented by a dataset accessible in the below link: https://doi.org/10.5281/zenodo.3461703 ; This research project has been partially funded through BR-UdG Scholarship of the University of Girona granted to Joaquim Massana Raurich. Work developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014-2016), the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R) and the European Union Horizon 2020 research and innovation programme under grant agreement No 680708.
Identifying services for short-term load forecasting using data driven models in a Smart City platform
Massana, Joaquim (author) / Pous, Carles (author) / Burgas Nadal, Llorenç (author) / Melendez, Joaquim (author) / Colomer, Joan (author)
2017-01-31
oai:zenodo.org:3379645
Article (Journal)
Electronic Resource
English
DDC:
690
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