| Title |
Identifying services for short-term load forecasting using data driven models in a Smart City platform |
| ID_Doc |
37040 |
| Authors |
Massana, J; Pous, C; Burgas, L; Melendez, J; Colomer, J |
| Title |
Identifying services for short-term load forecasting using data driven models in a Smart City platform |
| Year |
2017 |
| Published |
|
| Abstract |
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 to define the requirements and features of a reference architecture to support the data driven methods for energy efficiency 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. (C) 2016 Elsevier Ltd. All rights reserved. |
| PDF |
https://dugi-doc.udg.edu/bitstream/10256/13412/3/IdentifyingServicesForecasting.pdf
|
