Design and development of a forecasting tool for the identification of new target markets by open time-series data and deep learning methods

Marketing analysis of wineries using social collective behavior from users’ temporal activity on Twitter

(2020) Gema Bello-Orgaz et al.   INFORMATION PROCESSING & MANAGEMENT

Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting

(2020) Pedro Lara-Benítez et al.   Applied Sciences-Basel

Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting

(2020) Tong Niu et al.   EXPERT SYSTEMS WITH APPLICATIONS

The role of business analytics in supporting strategy processes: Opportunities and limitations

(2018) Martin Kunc et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques

(2018) Qiang Wang et al.   ENERGY

Multi-sensors measuring system for geodetic monitoring of elevator guide rails

(2018) Piotr Gołuch et al.   MEASUREMENT

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

A review on time series forecasting techniques for building energy consumption

(2017) Chirag Deb et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks

(2015) Junghwan Jin et al.   PLoS One

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

(2014) C.L. Philip Chen et al.   INFORMATION SCIENCES

Unraveling the cause-effect relation between time series

(2014) X. San Liang   PHYSICAL REVIEW E

Canadian energy and climate policies: A SWOT analysis in search of federal/provincial coherence

(2013) Camille Fertel et al.   ENERGY POLICY

Business intelligence in risk management: Some recent progresses

(2013) Desheng Dash Wu et al.   INFORMATION SCIENCES

Time-series data mining

(2012) Philippe Esling et al.   ACM COMPUTING SURVEYS