| 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 |
|
| DOI |
10.1016/j.scs.2016.09.001 |
| 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. |
| Author Keywords |
Short-term load forecasting; Data mining; Services; Building; Smart City architecture |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000389322700010 |
| WoS Category |
Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels |
| PDF |
https://dugi-doc.udg.edu/bitstream/10256/13412/3/IdentifyingServicesForecasting.pdf
|