Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model
Year of publication: |
2014
|
---|---|
Authors: | Zhao, Weigang ; Wang, Jianzhou ; Lu, Haiyan |
Published in: |
Omega : the international journal of management science. - Oxford [u.a.] : Elsevier, ISSN 0305-0483, ZDB-ID 124502-8. - Vol. 45.2014, p. 80-91
|
Subject: | Monthly electricity consumption in China | Time-varying-weight combining method | High-order Markov chain model | Multi-step-ahead combination forecasting | Out-of-sample forecasting accuracy | China | Prognoseverfahren | Forecasting model | Markov-Kette | Markov chain | Elektrizität | Electricity | Energiekonsum | Energy consumption | Energieprognose | Energy forecast | Zeitreihenanalyse | Time series analysis |
-
Nonlinear mixed effects models for time series forecasting of smart meter demand
Roach, Cameron, (2020)
-
Probabilistic forecasting of industrial electricity load with regime switching behavior
Berk, K., (2018)
-
Forecasting Long-Term Electricity Demand Time Series Using Artificial Neural Networks
Behm, Christian, (2020)
- More ...
-
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Guo, Zhenhai, (2012)
-
Zhao, Weigang, (2014)
-
An, Ning, (2013)
- More ...