Results 41 to 50 of about 127,521 (300)

A refined parametric model for short term load forecasting [PDF]

, 2014
We present a refined parametric model for forecasting electricity demand which performed particularly well in the recent Global Energy Forecasting Competition (GEFCom 2012).
Charlton, Nathaniel, Singleton, Colin
core   +1 more source

EMD-Based Short-term load forecasting

Advances in Social Science, Education and Humanities Research, 2014
Based on the characteristics of power load series such as periodic randomness and instability, A new method for short-term load forecasting was presented in this paper. Firstly, the power load series was decomposed into intrinsic mode functions (IMF).
Rui Cao, Feihui Liu, Zhenguo Li, Haihong Dong, Lin Ruan, Shuqin Guo   +5 more
openaire   +2 more sources

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Sensors, 2022
Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun, Hang Qin, Krzysztof Przystupa, Michal Majka, Orest Kochan   +4 more
doaj   +1 more source

Non-parametric short-term load forecasting

International Journal of Electrical Power & Energy Systems, 2007
Abstract Load forecasting is an important problem in the operation and planning of electrical power generation, as well as in transmission and distribution networks. This paper is interested by short-term load forecasting. It deals with the development of a reliable and efficient Kernel regression model to forecast the load in the Hydro Quebec ...
D. Asber, S. Lefebvre, J. Asber, M. Saad, C. Desbiens   +4 more
openaire   +1 more source

Short-term electric load forecasting using computational intelligence methods [PDF]

, 2013
Accurate time series forecasting is a key issue to support individual and organizational decision making. In this paper, we introduce several methods for short-term electric load forecasting. All the presented methods stem from computational intelligence
Cortez, Paulo, Jurado, Sergio, Mugica, Francisco, Nebot, Àngela, Peralta, J.   +4 more
core   +1 more source

Short-term Load Forecasting with Distributed Long Short-Term Memory

2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2023
5 pages, 4 figures, 2023 ISGT ...
Dong, Yi, Chen, Yang, Zhao, Xingyu, Huang, Xiaowei   +3 more
openaire   +2 more sources

Construction and Application of Short-Term and Mid-Term Power System Load Forecasting Model Based on Hybrid Deep Learning

IEEE Access, 2023
Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu, Ganglong Fan, Guofang Kuang, Yanping Song   +3 more
doaj   +1 more source

Short-term load forecasting using Theta method [PDF]

E3S Web of Conferences, 2019
The Theta method attracted the attention of researchers and practitioners in recent years due to its simplicity and superior forecasting accuracy. Its performance has been confirmed by many empirical studies as well as forecasting competitions.
Dudek Grzegorz
doaj   +1 more source

Power load forecasting [PDF]

, 2006
For the electric power factory, the power load forecasting problem, including load forecasting and consumption predicting, is crucial to work planning. According to the predicting time, it can be divided into long-term forecasting, mid-term forecasting ...
Hao, Z., Lu, L., Shao, D.
core  

Short term power load forecasting using Deep Neural Networks [PDF]

, 2017
Accurate load forecasting greatly influences the planning processes undertaken in operation centres of energy providers that relate to the actual electricity generation, distribution, system maintenance as well as electricity pricing. This paper exploits
Marnerides, Angelos, Ud Din, Ghulam Mohi
core   +2 more sources