Results 81 to 90 of about 464,468 (171)

The Optimization Research Approaches for Renewable Energy Output Forecasting

发电技术, 2019
Randomness, intermittence and fluctuation are features of new energy, which includes wind energy and solar energy, and power forecasting is an effective solution.
Jie SHI, Xiaofei LIU
doaj   +1 more source

Forecasting Aggregate Period Specific Birth Rates: The Time Series Properties of a Microdynamic Neoclassical Model of Fertility [PDF]

This article demonstrates the value of microdata for understanding the effect of wages on life cycle fertility dynamics. Conventional estimates of neoclassical economic fertility models obtained from linear aggregate time series regressions are widely ...
James J. Heckman, James R. Walker
core  

FORECASTING SPOT ELECTRICITY PRICES WITH TIME SERIES MODELS [PDF]

In this paper we study simple time series models and assess their forecasting performance. In particular we calibrate ARMA and ARMAX (where the exogenous variable is the system load) processes.
Adam Misiorek, Rafal Weron
core  

POWER CONSUMPTION FORECASTING PROGRAM

Modern Technologies and Scientific and Technological Progress
The problem of power consumption forecasting is considered.
openaire   +1 more source

Forecasting Housing Prices: Dynamic Factor Model versus LBVAR Model [PDF]

The purpose of this paper is to compare the forecasting power of DFM and LBVAR models as they are used to forecast house price growth rates for 42 metropolitan areas in the United States.
Leatham, David J., Li, Yarui
core   +1 more source

A review of research on spatial-temporal forecasting of power load based on spatial-temporal data mining

International Journal of Electrical Power & Energy Systems
Lately, in the context of global energy crisis and economic recovery after the COVID-19 epidemic, the contradiction between power supply and demand has become more prominent, showing a tight balance.
Zhanshuo Hu, Pengfei Zhang, Jianning Cai, Hengyu Liu, Gaohan Wang, Zhe Chen   +5 more
doaj   +1 more source

A Hybrid Framework for Offshore Wind Power Forecasting: Integrating CNN-BiGRU-XGBoost with Advanced Feature Engineering and Analysis

Energies
This paper proposes a hybrid forecasting model for offshore wind power, combining CNN, BiGRU, and XGBoost to address the challenges of fluctuating wind speeds and complex meteorological conditions.
Yongguo Li, Jiayi Pan, Jiangdong Wang
doaj   +1 more source

The Implied-Realized Volatility Relation with Jumps in Underlying Asset Prices [PDF]

Recent developments allow a nonparametric separation of the continuous sample path component and the jump component of realized volatility. The jump component has very different time series properties than the continuous component, and accounting for ...
Bent Jesper Christensen, Morten Ørregaard Nielsen   +1 more
core  

Multivariate out-of-sample tests for Granger causality. [PDF]

A time series is said to Granger cause another series if it has incremental predictive power when forecasting it. While Granger causality tests have been studied extensively in the univariate setting, much less is known for the multivariate case. In this
Croux, Christophe, Gelper, Sarah
core  

Solar Power Forecasting

, 2019
Solar energy is a promising environmentally-friendly energy source. Yet its variability affects negatively the large-scale integration into the electricity grid and therefore accurate forecasting of the power generated by PV systems is needed. The objective of this thesis is to explore the possibility of using machine learning methods to accurately ...
openaire   +1 more source