Search Results - subject:"Short term load forecasting"

Deep learning with regularized robust long- and short-term memory network for probabilistic short-term load forecasting

Jiang, He; Zheng, Weihua - In: Journal of forecasting 41 (2022) 6, pp. 1201-1216

Persistent link: https://www.econbiz.de/10013465692

Forecasting high resolution electricity demand data with additive models including smooth and jagged components

Amato, Umberto; Antoniadis, Anestis; De Feis, Italia; … - In: International journal of forecasting 37 (2021) 1, pp. 171-185

Persistent link: https://www.econbiz.de/10012692688

An integrated method based on relevance vector machine for short-term load forecasting

Ding, Jia; Wang, Maolin; Ping, Zuowei; Fu, Dongfei; … - In: European journal of operational research : EJOR 287 (2020) 2, pp. 497-510

Persistent link: https://www.econbiz.de/10012293858

Short term load forecasting and the effect of temperature at the low voltage level

Haben, Stephen; Giasemidis, Georgios; Ziel, Florian; … - In: International journal of forecasting 35 (2019) 4, pp. 1469-1484

Persistent link: https://www.econbiz.de/10012305377

Forecasting day-ahead electricity load using a multiple equation time series approach

Clements, A.E; Hurn, A.S - National Centre for Econometric Research (NCER) - 2014

Persistent link: https://www.econbiz.de/10011193589

Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems

Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; … - In: Energies 7 (2014) 3, pp. 1576-1598

The new paradigms and latest developments in the Electrical Grid are based on the introduction of distributed intelligence at several stages of its physical layer, giving birth to concepts such as Smart Grids, Virtual Power Plants, microgrids, Smart Buildings and Smart Environments. Distributed...

Persistent link: https://www.econbiz.de/10011031327

Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings

Borges, Cruz E.; Penya, Yoseba K.; Fernández, Iván; … - In: Energies 6 (2013) 4, pp. 2110-2129

Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted …

Persistent link: https://www.econbiz.de/10011030868

Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks

Hernandez, Luis; Baladrón, Carlos; Aguiar, Javier M.; … - In: Energies 6 (2013) 3, pp. 1385-1408

>Artificial Neural Network (ANN) that performs Short-Term Load Forecasting (STLF). In this study, we present the …

Persistent link: https://www.econbiz.de/10011030891

A New Two-Stage Approach to Short Term Electrical Load Forecasting

Božić, Miloš; Stojanović, Miloš; Stajić, Zoran; … - In: Energies 6 (2013) 4, pp. 2130-2148

In the deregulated energy market, the accuracy of load forecasting has a significant effect on the planning and operational decision making of utility companies. Electric load is a random non-stationary process influenced by a number of factors which make it difficult to model. To achieve better...

Persistent link: https://www.econbiz.de/10011030922

Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment

Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; … - In: Energies 6 (2013) 9, pp. 4489-4507

Short-Term Load Forecasting plays a significant role in energy generation planning, and is specially gaining momentum …>microgrids. This paper presents a two stage prediction model based on an Artificial Neural Network in order to allow Short-Term Load … Forecasting of the following day in microgrid environment, which first estimates peak and valley values of the demand curve …

Persistent link: https://www.econbiz.de/10011031145