Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.
Rubén Pérez-ChacónGualberto Asencio-CortésFrancisco Martínez-ÁlvarezAlicia Troncoso LoraPublished in: Inf. Sci. (2020)
Keyphrases
- big data
- sequence similarity
- demand forecasting
- electricity markets
- computational methods
- cloud computing
- protein structure prediction
- business intelligence
- data management
- big data analytics
- data analysis
- unstructured data
- high volume
- data processing
- knowledge discovery
- data science
- massive data
- social media
- genome scale
- secondary structure
- data warehousing
- vast amounts of data
- protein folding
- massive datasets
- graph theory
- artificial intelligence
- decision support
- pairwise
- natural language
- database systems
- information systems