EPFSTO-ARIMA: Electric Power Forced Stochastic Optimization Predicting Based on ARIMA
نویسندگان
چکیده
منابع مشابه
An ARIMA based Approach for Traffic Prediction
Network traffic prediction plays a vital role in the optimal resource allocation and management in computer networks. This paper introduces an ARIMA based model for the real time prediction of VBR video traffic. The methodology presented here can successfully addresses the challenges in traffic prediction such as accuracy in prediction, resource management and utilization. ARIMA application on ...
متن کاملDaqing Crude Oil Price Forecast Based on the ARIMA Model
Oil is the lifeblood of the industrial economy, oil prices are affected by many factors. China is a major industrial country, changes in the price of oil will affect many aspects of economic development, and therefore the price of crude oil research is extremely important. In this paper, monthly average prices of crude oil in Daqing from January 2000 to December 2010 are utilized to do the rese...
متن کاملMerging Two Arima Models for Energy Optimization in WSN
Nowadays Wireless Sensor Networks (WSNs) are deployed in various fields for different operations like controlling nuclear reactors, detecting seismic activities, security and surveillance, navigational activities, industrial automation and others. Such wide-ranging applications requiring WSNs, make them candi dates for intense research. Wireless sensor network consists of a sensor, a radio tran...
متن کاملForecast and Analyze the Telecom Income based on ARIMA Model
With the increasing competition in the telecommunications industry, the operators try their best to increase telecom income via various measures, one of which is to set an amount of income as a goal to make the encouragement. Since accurate forecast of income plays an important role in income target setting, this paper builds a time series Autoregressive Integrated Moving Average Model (ARIMA) ...
متن کاملCost Estimation Method of Power Engineering Overhead Line Based on ARIMA— RBF Neural Network Model
Factors in the unit investment forecast of overhead line engineering are various and complex, it is very difficult to get the satisfied forecasting effect using traditional econometric models. In view of this characteristic, this thesis puts forward a kind of combination forecast model, using the ARIMA model and RBF neural network model to seek for linear and nonlinear change rule of historical...
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: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-93206-0_5