A novel hybrid forecasting scheme for electricity demand time series

R Li, P Jiang, H Yang, C Li - Sustainable Cities and Society, 2020 - Elsevier
Electricity demand/load forecasting always plays a vital role in the management and
operation of power systems, since it can help develop an optimal action program for power …

A novel composite electricity demand forecasting framework by data processing and optimized support vector machine

P Jiang, R Li, N Liu, Y Gao - Applied Energy, 2020 - Elsevier
Reliable forecast of electricity can encourage accessible and responsible information for
scholars, policymakers, end-consumers and managers of the electricity market. Numerous …

Modeling of electricity demand forecast for power system

P Jiang, R Li, H Lu, X Zhang - Neural Computing and Applications, 2020 - Springer
The emerging complex circumstances caused by economy, technology, and government
policy and the requirement of low-carbon development of power grid lead to many …

A seasonal hybrid procedure for electricity demand forecasting in China

S Zhu, J Wang, W Zhao, J Wang - Applied Energy, 2011 - Elsevier
Electricity is a special energy which is hard to store, so the electricity demand forecasting in
China remains an important problem. This paper aims at developing an improved hybrid …

[HTML][HTML] A hybrid autoformer framework for electricity demand forecasting

Z Wang, Z Chen, Y Yang, C Liu, X Li, J Wu - Energy Reports, 2023 - Elsevier
Electricity demand forecasting is of great significance to the electricity system and residents'
life, but it is difficult to forecast the electricity demand series because of the influence of …

Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization

D Niu, Z Ji, W Li, X Xu, D Liu - Energy, 2021 - Elsevier
Accurate forecast of mid-term power demand ensures the stable and efficient operation of
power systems, and is essential for the construction of energy interconnections and …

Electrical load forecasting models: A critical systematic review

C Kuster, Y Rezgui, M Mourshed - Sustainable cities and society, 2017 - Elsevier
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …

Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application

R Li, X Chen, T Balezentis, D Streimikiene… - Neural computing and …, 2021 - Springer
Electricity demand forecasting plays a crucial role in the operation of electrical power
systems because it can provide management decisions related to load switching and power …

Forecasting long-term electricity demand in the residential sector

JFM Pessanha, N Leon - Procedia computer science, 2015 - Elsevier
This work describes a methodology for long-term electricity demand forecast in the
residential sector. The methodology has been used in the power market studies of some …

Day-ahead electricity price forecasting based on hybrid regression model

AN Alkawaz, A Abdellatif, J Kanesan… - IEEE …, 2022 - ieeexplore.ieee.org
Since the deregulation of the power markets, accurate short term Electricity Price
Forecasting (EPF) has become crucial in maximizing economic benefits and mitigating …