A Survey on Electric Power Demand Forecasting
نویسندگان
چکیده
Recently there has been tremendous change in use of the forecasting techniques due to increase availability power generation systems and consumption electricity by different utilities. In field it is important have accurate model avoid losses. With current development era smart grids, integrates electric generation, demand storage, which requires more precise techniques. This paper relates most relevant studies on forecasting, presents models. proposes a novel approach using machine learning for forecasting.
منابع مشابه
Forecasting Demand for Electric Power
We are developing a forecaster for daily extremes of demand for electric power encountered in the service area of a large midwestern utility and using this application as a testbed for approaches to input dimension reduction and decomposition of network training. Projection pursuit regression representations and the ability of algorithms like SIR to quickly find reasonable weighting vectors ena...
متن کاملElectric Power Demand Forecasting Based on Cointegration Analysis and a Support Vector Machine
In the process of cointegration analysis, electricity consumption is chosen as the explained variable, and GDP per capita, heavy industry share, and efficiency improvement are chosen as the explanatory variables; then a cointegration model is put forward, which shows that there is a cointegration relationship between the explained variable and explanatory variables. The explained and explanator...
متن کاملA Fuzzy Probability-based Markov Chain Model for Electric Power Demand Forecasting of Beijing, China
In this study, a fuzzy probability-based Markov chain model is developed for forecasting regional long-term electric power demand. The model can deal with the uncertainties in electric power system and reflect the vague and ambiguous during the process of power load forecasting through allowing uncertainties expressed as fuzzy parameters and discrete intervals. The developed model is applied to...
متن کاملDifferent Methods of Long-Term Electric Load Demand Forecasting a Comprehensive Review
Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...
متن کاملFuzzy Load Forecasting of Electric Power System
In order to efficiently improve the prediction accuracy, two load forecasting model based on fuzzy theory are presented, which are fuzzy clustering model and improved fuzzy regression analysis model .The method of fuzzy clustering is used to divide the area by the similar feature of load increasing. The new division is promising to improve the result of evident degree of clustering index to pow...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in parallel computing
سال: 2021
ISSN: ['1879-808X', '0927-5452']
DOI: https://doi.org/10.3233/apc210236