Abstract
Load forecasting is a term usually applied to describe a process of estimation or prediction of future energy demand for a certain distribution grid or part of a grid. Large number of different methods and techniques used for load forecasting have been developed in the past and new and improved methods are regularly being reported in research literature. This paper describes one of traditional load forecasting approaches based on autoregressive moving average (ARMA) modelling of load demand time-series (TS). However, it reconsiders each step in this process and proposes some new procedures to improve and clarify the whole method. Effectives of described approach is demonstrated using energy consumption measurements recently recorded at substations in central London area.
Original language | English |
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Title of host publication | Proceedings of the 2017 International Conference on Circuits, System and Simulation |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 978-1538603925 |
ISBN (Print) | 978-1538603932 |
DOIs | |
Publication status | Published - 31 Aug 2017 |
Event | 7th International Conference on Circuits, System and Simulation: ICCSS 2017 - London, United Kingdom Duration: 14 Jul 2017 → 17 Jul 2017 http://www.iccss.org/ |
Conference
Conference | 7th International Conference on Circuits, System and Simulation |
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Country/Territory | United Kingdom |
City | London |
Period | 14/07/17 → 17/07/17 |
Internet address |
Keywords
- load forcasting
- stochastic modelling
- autoaggressive moving average model
- trend
- seasonality