Search Results - subject:"echo state network"

Reservoir computing for macroeconomic forecasting with mixed-frequency data

Ballarin, Giovanni; Dellaportas, Petros; Grigoryeva, … - In: International journal of forecasting 40 (2024) 3, pp. 1206-1237

Persistent link: https://www.econbiz.de/10014547272

Deep distributional time series models and the probabilistic forecasting of intraday electricity prices

Klein, Nadja; Smith, Michael S.; Nott, David J. - In: Journal of applied econometrics 38 (2023) 4, pp. 493-511

Persistent link: https://www.econbiz.de/10014288014

Optimizing structure and internal unit weights of echo state network for an efficient LMS-based online training

Saadat, Javad; Farshad, Mohsen; Eliasi, Hussein - In: Operations research forum 4 (2023) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10014227120

Short-term wind speed forecasting based on spectral clustering and optimised echo state networks

Liu, Da; Wang, Jilong; Wang, Hui - In: Renewable Energy 78 (2015) C, pp. 599-608

Predicting the wind speed at multiple time points over a time span between two and 4 h typically requires a multi-input/multi-output model. This study investigates a wind speed forecasting method based on spectral clustering (SC) and echo state networks (ESNs). A wavelet transformation was used...

Persistent link: https://www.econbiz.de/10011208700

Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction

Deihimi, Ali; Orang, Omid; Showkati, Hemen - In: Energy 57 (2013) C, pp. 382-401

In this paper, WESN (wavelet echo state network) with a novel ESN-based reconstruction stage is applied to both STLF …

Persistent link: https://www.econbiz.de/10010809602

Application of echo state networks in short-term electric load forecasting

Deihimi, Ali; Showkati, Hemen - In: Energy 39 (2012) 1, pp. 327-340

The paper presents the application of echo state network (ESN) to short-term load forecasting (STLF) problem in power …

Persistent link: https://www.econbiz.de/10010808024