LONG-TERM FORECASTING OF THE SPA AND WELLNESS SUBSECTOR OF THE BULGARIAN TOURISM INDUSTRY by PRESLAV DIMITROV

“…A time series and past period predictions have been constructed based on statistical records since 1964 in order to test the forecasting methods presented in the paper and to produce forecasts up to the year 2022.…”
Get full text

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting by Krzysztof Gajowniczek, Tomasz Ząbkowski

“…Advanced metering infrastructures such as smart metering have begun to attract increasing attention; a considerable body of research is currently focusing on load profiling and forecasting at different scales on the grid. Electricity time series clustering is an effective tool for identifying useful information in various practical applications, including the forecasting of electricity usage, which is important for providing more data to smart meters. …”
Get full text

Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

“…The rapid evolution of intelligent algorithms has led to their extensive application in time-series forecasting, particularly in predicting electricity consumption. …”
Get full text

Memories of the Gold Foreign Exchange Market Based on a Moving V-Statistic and Wavelet-Based Multiresolution Analysis by Peng Zheng, Bin Liu, Zhongli Zhou

“…To accurately identify the multivariate long memory model in the financial market, this paper proposes the concept of a moving V-statistic on the basis of a modified R/S method to determine whether the time series has a long-range dependence and subsequently to apply wavelet-based multiresolution analysis to study the multifractality of the financial time series to determine the initial data windows. …”
Get full text

Thirty-Year Periodicity of Cosmic Rays by Jorge Pérez-Peraza, Víctor Velasco, Igor Ya. Libin, K. F. Yudakhin

“…On the basis of periodicities of the 10Be time series (using data from both the South and North Poles) and the 14C time series (with data from Intercal-98), we offer evidence of the existence of cosmic ray fluctuations with a periodicity of around 30 years. …”
Get full text

BOLD Noise Assumptions in fMRI by Alle Meije Wink, Jos B. T. M. Roerdink

“…Subtracting a resting-state time series from the first results in symmetric and nearly Gaussian noise. …”
Get full text

The Impact of Socio-Economic and Climate Change on Poverty in Indonesia by Watemin,, Slamet Rosyadi and Lilis Siti Badriah

“…This research uses time series data from 2007 to 2022. The Central Bureau of Statistics and Climate Change Performance Index (CCPI) reports are the sources of research data. …”
Get full text

Quality Classification of Lithium Battery in Microgrid Networks Based on Smooth Localized Complex Exponential Model by Zhelin Huang, Fangfang Yang

“…To effectively predict the lifetime of lithium-ion batteries, a time series classification method is proposed that classifies batteries into high-lifetime and low-lifetime groups using features extracted from early-cycle charge-discharge data. …”
Get full text

Credit Cycles: Econometric Analysis and Evidence for Russia by N. V. Artamonov, D. V. Artamonov, V. A. Artamonov

“…All time series are seasonally adjusted and collected for the period 2004 Q1 - 2013 Q2. …”
Get full text

Development of a Three-Stage Hybrid Model by Utilizing a Two-Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin, Pak... by Muhammad Sibtain, Xianshan Li, Ghulam Nabi, Muhammad Imran Azam, Hassan Bashir

“…Therefore, the proposed hybrid model is applicable for the nonlinear features of runoff time series with feasibility for future planning and management of water resources.…”
Get full text

Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models by Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, Hai Duong Pham Hoang, Khanh Linh Luong, Kim Ngan Nguyen Thi

“…Originality/value – The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.…”
Get full text

The role of climate change in the movement of climatic seasons in Iran by mahnaz Aziz Ebrahim, Mohammad Saligheh, Mohammad hossein Nassrzadeh, Bohlol Alijani

“…Daily temperature data for each clustering time series were determined, then by considering 7-day sequences, the beginning and end of the seasons. …”
Get full text

A Water Management Model for Toshka Depression by K. M. Fassieh, M. A. Zaki

“…This TD response to realistic time series of water inflow gains and evaporation losses is analyzed to compute the TD overflow time series. …”
Get full text

Is Chinaʼs Capital Liberalisation Policy Effective? by Lirong Wang, Jinnan Zhou, C. James Hueng

“…These allow us to investigate the effects of Chinaʼs capital controls and subsequent liberalisation policies, along with various global‐push and domestic‐pull factors, on its gross capital flows in a time series analysis. We collect various sources of information on Chinaʼs capital control policies from 2005 to 2022 and construct quarterly time series of Chinaʼs capital control indices for different types of gross flows. …”
Get full text

Predictive Online Transient Stability Assessment for Enhancing Efficiency by Rui Ma, Sara Eftekharnejad, Chen Zhong

“…This data reduction is enabled by generative and adversarial networks (GAN), which predict voltage time-series data following a transient event, thereby minimizing the need for extensive data. …”
Get full text

Deep features fusion for user authentication based on human activity by Yris Brice Wandji Piugie, Christophe Charrier, Joël Di Manno, Christophe Rosenberger

“…Time series does not receive any filtering operation with this transformation, and the method is reversible. …”
Get full text

Tourism and economic growth in Portugal: an empirical investigation of causal links by João Paulo Cerdeira Bento

“…This study employs time series cointegration methods that are capable of accommodating structural breaks. …”
Get full text

The Optimized Multivariate Grey Prediction Model Based on Dynamic Background Value and Its Application by Tongfei Lao, Xiaoting Chen, Jianian Zhu

“…As a tool for analyzing time series, grey prediction models have been widely used in various fields of society due to their higher prediction accuracy and the advantages of small sample modeling. …”
Get full text

A Climate - Satellite Analysis of Leaf Area Index in Hamedan Province by sayyed mohammad hosseini, Fakhry Sadat Fateminiya

“…Finally, the annual time series of leaf area index was obtained and its relation with rainfall and average temperature during these years. …”
Get full text

Evidence of Opportunity and Necessity Driven Entrepreneurship in Nigeria by Abubakar S. Garba, Fariastuti Djafar, Shazali Abu Mansor

“…The objective of this paper is to examine the influence of poverty, unemployment and GDP on entrepreneurship. Time series data for 31 years was collected from various official sources for the analysis. …”
Get full text