Results 21 to 30 of about 3,806,141 (312)
A load forecasting method for building air conditioning based on multi-stage attention mechanism
Zhejiang dianli, 2023 Load forecasting of building air conditioning is of great significance for improving the accuracy of power load forecasting of buildings and regional distribution networks. In order to improve the load forecasting accuracy of building air conditioning， a
CHEN Donghai +4 more
doaj +1 more source
Frontiers in Energy Research, 2021 Electric load forecasting is a prominent topic in energy research. Support vector regression (SVR) has extensively and successfully achieved good performance in electric load forecasting.
Rui Wang +3 more
doaj +1 more source
Load Forecasting with Machine Learning and Deep Learning Methods
Applied Sciences, 2023 Characterizing the electric energy curve can improve the energy efficiency of existing buildings without any structural change and is the basis for controlling and optimizing building performance.
Moisés Cordeiro-Costas +4 more
semanticscholar +1 more source
Long-Term Power Load Forecasting Using LSTM-Informer with Ensemble Learning
Electronics, 2023 Accurate power load forecasting can facilitate effective distribution of power and avoid wasting power so as to reduce costs. Power load is affected by many factors, so accurate forecasting is more difficult, and the current methods are mostly aimed at ...
Kun Wang +3 more
semanticscholar +1 more source
Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling
Energy Reports, 2022 Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
doaj +1 more source
Load Forecasting Techniques for Power System: Research Challenges and Survey
IEEE Access, 2022 The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad +3 more
semanticscholar +1 more source
Short-Term Load Forecasting [PDF]
[1991 Proceedings] 6th Mediterranean Electrotechnical Conference, 1988 Some of the decision and control functions discussed in this book require knowledge of future load behavior. In unit commitment, for example, hourly system loads for the next 24–72 hours are required. Some unit commitment programs even require knowledge of future loads for the next week, i.e., 168 hours.
I. Komprej, P. Zunko
+4 more sources
Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network
IEEE Transactions on Smart Grid, 2019 As the power system is facing a transition toward a more intelligent, flexible, and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers ...
Weicong Kong +5 more
semanticscholar +1 more source
A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security
IEEE Transactions on Industrial Informatics, 2022 As the basis for the static security of the power grid, power load forecasting directly affects the safety of grid operation, the rationality of grid planning, and the economy of supply–demand balance.
L. Lv +5 more
semanticscholar +1 more source
Load forecasting method considering temperature effect for distribution network
MATEC Web of Conferences, 2016 To improve the accuracy of load forecasting, the temperature factor was introduced into the load forecasting in this paper. This paper analyzed the characteristics of power load variation, and researched the rule of the load with the temperature change ...
Meng Xiao Fang +3 more
doaj +1 more source