Results 41 to 50 of about 108,774 (242)
The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management [PDF]
, 2017 Electricity load forecasting, optimal power system operation and energy management play key roles that can bring significant operational advantages to microgrids.
Da Costa Mendes, Paulo Renato +5 more
core +4 more sources
Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition
Chemical Engineering Transactions, 2017 The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
doaj +1 more source
Stacking strategy-assisted random forest algorithm and its application
AIP Advances, 2023 Short-term power load forecasting provides important guidance for the improvement of power marketing and control levels of power enterprises. In this paper, a novel method, named RF-TStacking, is proposed to forecast the short-term load.
Kun Wang, Jinggeng Gao, Hu Li, Li Liang
doaj +1 more source
, 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
Journal of Electrical and Computer Engineering, 2015 Electric power is a kind of unstorable energy concerning the national welfare and the people’s livelihood, the stability of which is attracting more and more attention.
Wei Sun, Minquan Ye
doaj +1 more source
Peramalan Penggunaan Beban Listrik Jangka Pendek Gardu Induk Bawen dengan Dsarima [PDF]
, 2015 Bawen substation is a part of electrical distribution system. Forecasting load demand is required for power planning. Data used in this research are an hourly load demand of Bawen, Salatiga for 3 months, from February 2, 2013 to April 29, 2013, measured ...
Pangadi, P. (Pangadi) +2 more
core +1 more source
An improved LSTM-Seq2Seq-based forecasting method for electricity load
Frontiers in Energy Research, 2023 Power load forecasting has gained considerable research interest in recent years. The power load is vulnerable to randomness and uncertainty during power grid operations.
Yangyang Mu +4 more
doaj +1 more source
Multifeature Short-Term Power Load Forecasting Based on GCN-LSTM
International Transactions on Electrical Energy Systems, 2023 With the construction of a new-type power system under the China “double carbon” target and the increasing diversification of the energy demand on the user side, the short-term load forecasting of the power system is facing new challenges.
Houhe Chen +7 more
doaj +1 more source
Incorporating practice theory in sub-profile models for short term aggregated residential load forecasting [PDF]
, 2017 Aspirations of grid independence could be achieved by residential power systems connected only to small highly variable loads, if overall demand on the network can be accurately anticipated.
Galloway, Stuart +4 more
core +1 more source
Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting
Energies, 2023 Short-term load forecasting (STLF) plays an important role in facilitating efficient and reliable operations of power systems and optimizing energy planning in the electricity market. To improve the accuracy of power load prediction, an adaptive clustering long short-term memory network is proposed to effectively combine the clustering process and ...
Yuanhang Qi +4 more
openaire +2 more sources