Cargando…
Short term Markov corrector for building load forecasting system – Concept and case study of day-ahead load forecasting under the impact of the COVID-19 pandemic
In this paper, we present the concept and formulation of a short-term Markov corrector to an underlying day-ahead building load forecasting model. The models and the correctors are then integrated to the building supervision, control and data acquisition system to automate the self-updating and retr...
Autores principales: | Nguyen, Van Hoa, Besanger, Yvon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251907/ https://www.ncbi.nlm.nih.gov/pubmed/35814481 http://dx.doi.org/10.1016/j.enbuild.2022.112286 |
Ejemplares similares
-
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting (†)
por: Jung, Seungmin, et al.
Publicado: (2021) -
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models
por: Lambert, Guillaume, et al.
Publicado: (2023) -
Probabilistic Load Forecasting for Building Energy Models
por: Lucas Segarra, Eva, et al.
Publicado: (2020) -
Probabilistic Load Forecasting Optimization for Building Energy Models via Day Characterization
por: Lucas Segarra, Eva, et al.
Publicado: (2021) -
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China
por: Dong, Huanhe, et al.
Publicado: (2021)