Zeng B. Research on electricity demand forecasting based on improved grey prediction model. Journal of Chongqing Normal University (Natural Science), 2012, 29(6): 99-104.Zeng b. Research on electricity demand forecasting based on improved grey prediction model. Journal of Chongqing Normal University...
2023, Advances in Geo-Energy Research VMD-based Multiscaled LSTM-ARIMA to Forecast Post-COVID-19 US Air Traffic 2022, 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 Federated Learning for Long-term Forecasting of Electricity Consumption towards a Carbon-neutral Futu...
In order to simulate and forecast the electric power supply situation under the structural reform of supply side, this paper uses Long-range Energy Alternatives Planning (LEAP) model to construct the energy processing conversion module, and optimizes the power generation module based on the principle...
Research on the Short-term Electric Load Forecasting Based on Fuzzy Rules LIU Tongna.Research on the short-term electric load forecastingbased on wavelet neural network. International Conferenceon Information Management,Innovation ... T Liu,Z Qian - IEEE International Conference on Information ...
Electricity sales forecasting is an important basis for power grid construction and planning. Because the sale of electricity is an issue of multi variable,nonlinear interaction of many factors,the traditional methods are often difficult to obtain satisfactory forecasting effect. This paper presents a me...
This research paper proposes a short-term electrical load forecasting model based on support vector machines and the ensemble machine learning method. Historical data is reviewed, and acceptable features for developing the model are disc... M Chauhan,S Gupta,M Sandhu - 《Ecs Transactions》 被引量...
This paper represents an analysis to forecast the electricity demand of an isolated island in Bangladesh where past history of electrical load demand is not available. The analysis is based on the identification of factors on which electrical load growth of an area depends. The forecasting has ...
Electricity demand forecasting plays a central role in the process of power system planning and operation. This topic has been, and is still attracting vast research activities that are performed by researchers in the academia and power companies. This is attributed to the fact that better forecasti...
These agents need forecasting tools to have an accur... A Sorokin,S Rebennack,PM Pardalos,... - Springer Berlin Heidelberg 被引量: 18发表: 2012年 Working Paper 06/08Density forecasting for long-term peak electricity demand Density forecasting for long-term RJ Hyndman,F Shu,RJ Hyndman,......
This paper studies the forecasting abilities of a battery of univariate models on hourly electricity spot prices, using data from the Leipzig Power Exchange. The specifications studied include autoregressive models, autoregressive-moving average models and unobserved component models. The results show that...