Sentence examples for novel forecasting from inspiring English sources

Section 3 proposes a novel forecasting method and analyzes the calculating error bounds.

Novel forecasting approaches for trade marks and designs have also been analysed.

Thus, in order to overcome the shortcomings mentioned above, this paper proposes a novel forecasting model which can avoid both error accumulation and fixed errors.

The study concentrates on Long Short Term Memory (LSTM), a novel forecasting method from the family of deep neural networks, and compares its forecasting accuracy to alternative methods with a proven track record in solar energy forecasting.

Using the extracted factors, we develop a novel forecasting method called the sufficient forecasting, which provides a set of sufficient predictive indices, inferred from high-dimensional predictors, to deliver additional predictive power.

Based on an integration of two machine learning techniques: Bayesian clustering by dynamics (BCD) and support vector regression (SVR), this paper proposes a novel forecasting model for day ahead electricity load forecasting.

In this paper, a novel forecast model for short-term prediction of wind speed and wind power is proposed, which is based on singular spectrum analysis (SSA) and locality-sensitive hashing (LSH).

In this interdisciplinary study a novel hybrid forecasting system is presented, in which an isotropic buffer operator is applied for case-based creation within the structure of the organization-based multi-agent system.

This study develops and applies a novel classification-forecasting model, namely Binary GP (BGP), for teleconnection studies between sea surface temperature (SST) variations and maximum monthly rainfall (MMR) events.

Therefore, considering one criterion i.e. accuracy or stability is insufficient, in this study a novel powerful hybrid forecasting system is successfully developed, which contains four modules: data preprocessing module, optimization module, forecasting module and evaluation module.

This study aimed at introducing a novel approach in forecasting AIDS prevalence in the US using data from Google Trends on related terms.