Results 71 to 80 of about 453,955 (199)

TPE-Based Boosting Short-Term Load Forecasting Method

Shanghai Jiaotong Daxue xuebao
Short-term load forecasting is generally applied in power system real-time dispatching and day-ahead generation planning, which is of great significance for power system economic dispatching and safe operation of the system. Many researches on short-term
LUO Min, YANG Jinfeng, YU Hui, LAI Yuchen, GUO Yangyun, ZHOU Shangli, XIANG Rui, TONG Xing, CHEN Xiao
doaj   +1 more source

Forecasting the world economy in the short-term [PDF]

Forecasting the world economy is a difficult task given the complex interrelationships within and across countries. This paper proposes a number of approaches to forecast short-term changes in selected world economic variables and aims, first, at ranking
Dées, Stéphane, Jakaitiene, Audrone
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Modeling the FIBOR/EURIBOR Swap Term Structure: An Empirical Approach [PDF]

In this study we forecast the term structure of FIBOR/EURIBOR swap rates by means of recursive vector autoregressive (VAR) models. In advance, a principal components analysis (PCA) is adopted to reduce the dimensionality of the term structure.
Gonzalo de Cadenas Santiago, Helmut Herwartz, Oliver Blaskowitz   +2 more
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Studi Peramalan Beban Rata – Rata Jangka Pendek Menggunakan Metoda Autoregressive Integrated Moving Average (Arima [PDF]

, 2017
Forecasting. Plans, power plants ,. Electricity needs are increasingly changing daily, so the State Electricity Company (PLN) as a provider of energy must be able to predict daily electricity needs. Short-term forecasting is the prediction of electricity
Jurnal, R. T. (Redaksi)
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Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm

Discrete Dynamics in Nature and Society, 2018
Short-term traffic flow forecasting is one of the key issues in the field of dynamic traffic control and management. Because of the uncertainty and nonlinearity, short-term traffic flow forecasting remains a challenging task.
Qichun Bing, Dayi Qu, Xiufeng Chen, Fuquan Pan, Jinli Wei   +4 more
doaj   +1 more source

Forecasting Inflation in Developing Nations: The Case of Pakistan [PDF]

This study attempts to outline the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Pakistan’s inflation. A framework for ARIMA forecasting is drawn up. On the basis of
Feridun, Mete
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Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Fruit Fly Optimization Algorithm

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

Improving adaptation and interpretability of a short-term traffic forecasting system [PDF]

, 2017
Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes.
Casas Vilaró, Jordi, Djukic, Tamara, Gavaldà Mestre, Ricard, Mena Yedra, Rafael   +3 more
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Forecasts of U.S. short-term interest rates: a flexible forecast combination approach [PDF]

This paper develops a flexible approach to combine forecasts of future spot rates with forecasts from time-series models or macroeconomic variables.
Allan Timmerman, Massimo Guidolin
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Corrective receding horizon EV charge scheduling using short-term solar forecasting [PDF]

, 2019
Forecast errors can cause sub-optimal solutions in resource planning optimization, yet they are usually modeled simplistically by statistical models, causing unrealistic impacts on the optimal solutions.
Haghi, HV, Kleissl, J, Ratnam, E, Wang, GC   +3 more
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