Results 271 to 280 of about 29,110,946 (332)

Multilevel Model Prediction

Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
openaire   +1 more source

A novel decomposition-ensemble prediction model for ultra-short-term wind speed

Energy Conversion and Management, 2021
Accurate ultra-short-term wind speed prediction is of great significance to the power generation efficiency of wind farms, and also has a good application prospect in the field of meteorology.
Zhong-da Tian, Hao Chen
semanticscholar   +1 more source

Temporal convolutional networks interval prediction model for wind speed forecasting

, 2021
Wind speed interval prediction is one of the most elusive and long-standing challenges in wind power production. As a data source with intermittent and fluctuant characteristics, wind speed time series require highly nonlinear temporal features for the ...
Zhenhao Gan, Chaoshun Li, Jian-zhong Zhou, Geng Tang   +3 more
semanticscholar   +1 more source

EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning

, 2021
Effective wind-power prediction enhances the adaptability of a wind power system to the instability of wind power, which is beneficial for load and frequency regulation, helping to convert wind power to electricity and connect wind power to the grid ...
Xiaosheng Peng, Hongyu Wang, Jianxun Lang, Wenze Li, Qiyou Xu, Zuowei Zhang, T. Cai, S. Duan, Fangjie Liu, Chaoshun Li   +9 more
semanticscholar   +1 more source

A new carbon price prediction model

Energy, 2021
The excessive emission of carbon is one of the important factors causing environmental pollution, and the prediction of carbon trading market price is an important mean of emission reduction.
Guohui Li, Zhiyuan Ning, Hong Yang, Lipeng Gao   +3 more
semanticscholar   +1 more source

MODEL IMPERFECTION AND PREDICTING PREDICTABILITY

International Journal of Bifurcation and Chaos, 2013
It has been argued that Lyapunov exponents as a measure of predictability are of limited value because they only provide a global average. Characterizing an attractor by a distribution of times for initial uncertainties to increase by a factor of q has been suggested as a more useful alternative.
openaire   +1 more source

Short-term wind speed prediction model based on GA-ANN improved by VMD

Renewable Energy, 2020
Wind power, as a potential new energy generation technology, is gradually developing towards to the mainstream energy in the world. However, the inherent random volatility of wind brings severe challenges to the safe operation of the grid and the ...
Yagang Zhang, Guifang Pan, Bing Chen, Jingyi Han, Yuan Zhao, Chenhong Zhang   +5 more
semanticscholar   +1 more source

Predictive Modeling & Outcomes

Professional Case Management, 2008
The intent of this article is to explain predictive modeling-a statistical tool-as it applies to the practice of case management. While actuaries and financial experts focus on the statistical relevance of predictive risk scores, case managers will benefit from knowing what these scores mean and how interpreting and applying them into meaningful action
openaire   +2 more sources

LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM

Bioinform., 2020
MOTIVATION Identification of blood-brain barrier (BBB) permeability of a compound is a major challenge in neurotherapeutic drug discovery. Conventional approaches for BBB permeability measurement are expensive, time-consuming, and labor-intensive.
Bilal Shaker, Myeong-Sang Yu, J. Song, Sunjoo Ahn, J. Ryu, K. Oh, D. Na   +6 more
semanticscholar   +1 more source

A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine

Applied Energy, 2020
Residential electricity consumption accounts for a large proportion of the primary energy consumption in China. Building energy management can effectively improve energy efficiency, where the accurate and reliable prediction results of residential ...
Che Liu, Bo Sun, Chenghui Zhang, Fan Li
semanticscholar   +1 more source