Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting
Advanced metering infrastructures such as smart metering have begun to attract increasing attention; a considerable body of research is currently focusing on load profiling and forecasting at different scales on the grid. Electricity time series clustering is an effective tool for identifying useful...
Saved in:
Main Authors: | Krzysztof Gajowniczek, Tomasz Ząbkowski |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/3683969 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting
by: Hyun-Jung Bae, et al.
Published: (2025-01-01) -
Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting
by: Winita Sulandari, et al.
Published: (2025-01-01) -
Short-Term Forecasting of Global Energy and Metal Prices: VAR and VECM Approaches
by: Diana Balioz
Published: (2022-12-01) -
Using crafted features and polar bear optimization algorithm for short-term electric load forecast system
by: Mansi Bhatnagar, et al.
Published: (2025-01-01) -
Short‐term load forecasting at electric vehicle charging sites using a multivariate multi‐step long short‐term memory: A case study from Finland
by: Tim Unterluggauer, et al.
Published: (2021-12-01)