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1. Visibility graphs of ground-level ozone time series: A multifractal analysis

Author:
Carmona-Cabezas, Rafael; Ariza-Villaverde, Ana B.; Gutiérrez de Ravé, Eduardo; Jiménez-Hornero, Francisco J.
Source:
The Science of the total environment 2019 v.661 pp. 138-147
ISSN:
0048-9697
Subject:
time series analysis,   etc   ; fractal dimensions; graphs; ozone;     Show all 4 Subjects
Abstract:
... A recent method based on the concurrence of complex networks and multifractal analyses is applied for the first time to explore ground-level ozone behavior. Ozone time series are converted into complex networks for their posterior analysis. The searched purpose is to check the suitability of this transformation and to see whether some features of these complex networks could constitute a prelimina ...
DOI:
10.1016/j.scitotenv.2019.01.147

2. A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

Author:
Jiang, Ping; Yang, Hufang; Heng, Jiani
Source:
Applied energy 2019 v.235 pp. 786-801
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; models; wind speed;     Show all 3 Subjects
Abstract:
... Wind speed forecasting is fundamental to the dispatching, controllability, and stability of the power grid. As a challenging but essential work, wind speed forecasting has attracted significant attention from researchers and managers. However, traditional forecasting models sometimes fail to capture data features owing to the randomness and intermittency of wind speed, and the models always focus ...
DOI:
10.1016/j.apenergy.2018.11.012

3. Short-term scenario-based probabilistic load forecasting: A data-driven approach

Author:
Khoshrou, Abdolrahman; Pauwels, Eric J.
Source:
Applied energy 2019 v.238 pp. 1258-1268
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; case studies; energy; models; temperature;     Show all 5 Subjects
Abstract:
... Scenario-based probabilistic forecasting models have been explored extensively in the literature in recent years. The performance of such models evidently depends to a large extent on how different input (temperature) scenarios are being generated. This paper proposes a generic framework for probabilistic load forecasting using an ensemble of regression trees. A major distinction of the current wo ...
DOI:
10.1016/j.apenergy.2019.01.155

4. Wave tracking method of hydraulic transients in pipe systems with pump shut-off under simultaneous closing of spherical valves

Author:
Zhang, Zh.
Source:
Renewable energy 2019 v.132 pp. 157-166
ISSN:
0960-1481
Subject:
time series analysis,   etc   ; hydraulic systems; renewable energy sources; turbines;     Show all 4 Subjects
Abstract:
... The limited wave propagation speed in water permits the propagation of pressure surges in hydraulic transients to be tracked in the time series. This occurs by tracking the primary (F) and the reflected (f) waves. The wave tracking method has been demonstrated to be applicable to highly complex hydraulic systems. The wave propagation induced by passing through a T-junction in the flow complies wit ...
DOI:
10.1016/j.renene.2018.07.119

5. Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

Author:
Cai, Mengmeng; Pipattanasomporn, Manisa; Rahman, Saifur
Source:
Applied energy 2019 v.236 pp. 1078-1088
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; buildings; neural networks; statistical analysis;     Show all 4 Subjects
Abstract:
... Load forecasting problems have traditionally been addressed using various statistical methods, among which autoregressive integrated moving average with exogenous inputs (ARIMAX) has gained the most attention as a classical time-series modeling method. Recently, the booming development of deep learning techniques make them promising alternatives to conventional data-driven approaches. While deep l ...
DOI:
10.1016/j.apenergy.2018.12.042

6. A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

Author:
Qian, Zheng; Pei, Yan; Zareipour, Hamidreza; Chen, Niya
Source:
Applied energy 2019 v.235 pp. 939-953
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; algorithms; models; wavelet; wind power; wind speed;     Show all 6 Subjects
Abstract:
... With the continuous growth of wind power integration into the electrical grid, accurate wind power forecasting is an important component in management and operation of power systems. Given the challenging nature of wind power forecasting, various methods are presented in the literature to improve wind power forecasting accuracy. Among them, combining different techniques to construct hybrid models ...
DOI:
10.1016/j.apenergy.2018.10.080

7. Growth of bending-moment faults due to progressive folding: Insights from sandbox models and paleoseismological implications

Author:
Livio, Franz; Kettermann, Michael; Reicherter, Klaus; Urai, Janos L.
Source:
Geomorphology 2019 v.326 pp. 152-166
ISSN:
0169-555X
Subject:
time series analysis,   etc   ; deformation; maturity stage; models; slicing; tectonics; trenching;     Show all 7 Subjects
Abstract:
... Bending moment normal faults (BMF) form during outer-arc extension of a folding layer. These faults, observed in contractional and extensional tectonic environments, can represent the only tectonic features potentially available for paleoseismological investigations (i.e., trenching) in order to date the movement of deeper structures. Yet, the reliability of BMF as a paleoseismological feature is ...
DOI:
10.1016/j.geomorph.2018.02.012

8. Spatio-temporal population dynamics of six phytoplankton taxa

Author:
Forsblom, Louise; Lehtinen, Sirpa; Lindén, Andreas
Source:
Hydrobiologia 2019 v.828 no.1 pp. 301-314
ISSN:
0018-8158
Subject:
time series analysis,   etc   ; models; monitoring; phytoplankton; population dynamics; Baltic Sea;     Show all 6 Subjects
Abstract:
... Studying aquatic population dynamics using spatio-temporal monitoring data is associated with a number of challenges and choices. One can let several samples represent the same population over larger areas, or alternatively model the dynamics of each sampling location in continuous space. We analysed the spatio-temporal population dynamics of six phytoplankton taxa in the Baltic Sea applying multi ...
DOI:
10.1007/s10750-018-3826-2

9. Urbanization impact on residential energy consumption in China: the roles of income, urbanization level, and urban density

Author:
Wang, Qiaoran; Yang, Xianming
Source:
Environmental science and pollution research international 2019 v.26 no.4 pp. 3542-3555
ISSN:
0944-1344
Subject:
time series analysis,   etc   ; data collection; energy; income; urbanization; China;     Show all 6 Subjects
Abstract:
... This paper investigated the impact of urbanization on residential energy consumption (REC) in China by taking cognizance of the levels of income, urbanization and urban density. Threshold analyses were employed to investigate the nonlinear relationships based on the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) framework using a balanced panel dataset of 29 pr ...
DOI:
10.1007/s11356-018-3863-4

10. Wavelet-based time series model to improve the forecast accuracy of PM10 concentrations in Peninsular Malaysia

Author:
Yong, Ng Kar; Awang, Norhashidah
Source:
Environmental monitoring and assessment 2019 v.191 no.2 pp. 64
ISSN:
0167-6369
Subject:
time series analysis,   etc   ; models; particulates; probability; wavelet; Malaysia;     Show all 6 Subjects
Abstract:
... This study presents the use of a wavelet-based time series model to forecast the daily average particulate matter with an aerodynamic diameter of less than 10 μm (PM₁₀) in Peninsular Malaysia. The highlight of this study is the use of a discrete wavelet transform (DWT) in order to improve the forecast accuracy. The DWT was applied to convert the highly variable PM₁₀ series into more stable approxi ...
DOI:
10.1007/s10661-019-7209-6

11. Development of China’s nature reserves over the past 60 years: An overview

Author:
Huang, Yinzhou; Fu, Jiao; Wang, Wenrui; Li, Jing
Source:
Land use policy 2019 v.80 pp. 224-232
ISSN:
0264-8377
Subject:
time series analysis,   etc   ; biodiversity; conservation areas; environmental education; China;     Show all 5 Subjects
Abstract:
... Establishing nature reserves (NRs) is the most important way to conserve biodiversity in China. In this paper, based on time series, we briefly reviewed its development history. The result showed that the pace and scale of the development of NRs have varied over time, and the development was highly related to China’s economic and social development. Thus far, downsizing and downgrading still are t ...
DOI:
10.1016/j.landusepol.2018.10.020

12. Generating a series of land covers by assimilating the existing land cover maps

Author:
Xu, Guang; Chen, Baozhang
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.147 pp. 206-214
ISSN:
0924-2716
Subject:
time series analysis,   etc   ; Earth system science; land cover; uncertainty;     Show all 4 Subjects
Abstract:
... Land cover (LC), which describes the physical material of land surface, is an important parameter in earth system science. With more and more LC data available, this research aims to establish a data assimilation framework for integrating continuous LC time series based on the existing LC products. The framework is designed by borrowing the basic concept from data assimilation to find out the opti ...
DOI:
10.1016/j.isprsjprs.2018.11.018

13. Identification and application of the most suitable entropy model for precipitation complexity measurement

Author:
Zhang, Liangliang; Li, Heng; Liu, Dong; Fu, Qiang; Li, Mo; Faiz, Muhammad Abrar; Khan, Muhammad Imran; Li, Tianxiao
Source:
Atmospheric research 2019 v.221 pp. 88-97
ISSN:
0169-8095
Subject:
time series analysis,   etc   ; altitude; atmospheric precipitation; drought; entropy; floods; grasslands; models; uncertainty; water management; wavelet; China;     Show all 12 Subjects
Abstract:
... Precipitation complexity measurement is often overlooked in precipitation time series research. Entropy, as a measure of system complexity, can be used to diagnose the complexity of precipitation. However, it is difficult to judge the applicability of different theoretical entropy models for solving precipitation uncertainty problems. This paper introduces the distinction degree theory and the ser ...
DOI:
10.1016/j.atmosres.2019.02.002

14. A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

Author:
Leigh, Catherine; Alsibai, Omar; Hyndman, Rob J.; Kandanaarachchi, Sevvandi; King, Olivia C.; McGree, James M.; Neelamraju, Catherine; Strauss, Jennifer; Talagala, Priyanga Dilini; Turner, Ryan D.R.; Mengersen, Kerrie; Peterson, Erin E.
Source:
The Science of the total environment 2019 v.664 pp. 885-898
ISSN:
0048-9697
Subject:
time series analysis,   etc   ; automation; data collection; models; monitoring; rivers; turbidity; water quality; Great Barrier Reef;     Show all 9 Subjects
Abstract:
... Monitoring the water quality of rivers is increasingly conducted using automated in situ sensors, enabling timelier identification of unexpected values or trends. However, the data are confounded by anomalies caused by technical issues, for which the volume and velocity of data preclude manual detection. We present a framework for automated anomaly detection in high-frequency water-quality data fr ...
DOI:
10.1016/j.scitotenv.2019.02.085

15. The impact of financial development and economic growth on renewable energy consumption: Empirical analysis of India

Author:
Eren, Baris Memduh; Taspinar, Nigar; Gokmenoglu, Korhan K.
Source:
The Science of the total environment 2019 v.663 pp. 189-197
ISSN:
0048-9697
Subject:
time series analysis,   etc   ; economic development; empirical research; least squares; models; renewable energy sources; India;     Show all 7 Subjects
Abstract:
... This current study investigates the impact of financial development and economic growth on renewable energy consumption in India. Annual time series data is used to cover the period 1971–2015. A long-run equilibrium relationship is confirmed among the variables of financial development, renewable energy consumption and economic growth by the Maki (2012) cointegration test under five structural bre ...
DOI:
10.1016/j.scitotenv.2019.01.323

16. Forecasting solar irradiance at short horizons: Frequency and time domain models

Author:
Reikard, Gordon; Hansen, Clifford
Source:
Renewable energy 2019 v.135 pp. 1270-1290
ISSN:
0960-1481
Subject:
time series analysis,   etc   ; light intensity; model validation; models; solar energy; solar radiation; United States;     Show all 7 Subjects
Abstract:
... A key issue in integrating solar power into the grid is short-term forecasting. Up to now, most solar forecasting has been run in the time domain. But since the data are dominated by the diurnal cycle, frequency domain methods naturally recommend themselves. Several time series models are tested over horizons of 15, 30 and 45 min, and 1–3 h. The methods include persistence, regressions in levels, ...
DOI:
10.1016/j.renene.2018.08.081

17. Measurement of effective energy consumption in China's rural household sector and policy implication

Author:
Niu, Shuwen; Li, Zhen; Qiu, Xin; Dai, Runqi; Wang, Xiang; Qiang, Wenli; Hong, Zhenguo
Source:
Energy policy 2019 v.128 pp. 553-564
ISSN:
0301-4215
Subject:
time series analysis,   etc   ; biogas; energy efficiency; feces; households; issues and policy; solar energy; statistics; China;     Show all 9 Subjects
Abstract:
... To facilitate energy system transition, China needs to further optimize energy structure and improve energy efficiency. Compared with physical energy consumption, effective energy consumption can better reflect the actual household energy consumption level. Based on a review of relevant literatures and official statistics, we first estimated the amounts of biogas, dung and solar energy utilized by ...
DOI:
10.1016/j.enpol.2019.01.016

18. Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

Author:
Li, Yanfei; Shi, Huipeng; Han, Fengze; Duan, Zhu; Liu, Hui
Source:
Renewable energy 2019 v.135 pp. 540-553
ISSN:
0960-1481
Subject:
time series analysis,   etc   ; algorithms; neural networks; prediction; wavelet; wind power; wind speed;     Show all 7 Subjects
Abstract:
... Big multi-step wind speed forecasting is hard to be realized due to the high -requirement of the built forecasting models. However, the big multi-step forecasting is expected in the wind power systems, which can provide sufficient time for the wind grids to be operated in the emergency cases. In the study, a new hybrid computational framework for the big multi-step wind speed forecasting is propos ...
DOI:
10.1016/j.renene.2018.12.035

19. Spatial Distribution of the International Food Prices: Unexpected Heterogeneity and Randomness

Author:
Distefano, Tiziano; Chiarotti, Guido; Laio, Francesco; Ridolfi, Luca
Source:
Ecological economics 2019 v.159 pp. 122-132
ISSN:
0921-8009
Subject:
time series analysis,   etc   ; food prices; issues and policy; products and commodities; stochastic processes; trade; variance;     Show all 7 Subjects
Abstract:
... Global food prices are typically analysed in a time-series framework. We complement this approach by focusing on the spatial price dispersion of the country-pair bilateral trade in the international food trade network (IFTN), for ten relevant commodities. The main purposes are to verify if the Law of One Price (LOP) holds and to investigate the emergence of randomness in the price-formation mechan ...
DOI:
10.1016/j.ecolecon.2019.01.010

20. The impact of fracking activities on Oklahoma's housing prices: A panel cointegration analysis

Author:
Apergis, Nicholas
Source:
Energy policy 2019 v.128 pp. 94-101
ISSN:
0301-4215
Subject:
time series analysis,   etc   ; employment; hydraulic fracturing; natural gas; oils; prices; Oklahoma;     Show all 7 Subjects
Abstract:
... Fracking drilling has opened a discussion on the role of technological developments in economies engaged in shale oil and gas formations. Oil and natural gas production opened new possibilities for employment benefits and housing prices decreases. This paper explores, for the first time, the impact of fracking on housing prices across Oklahoma's counties, spanning the period 2000–2015. Through pan ...
DOI:
10.1016/j.enpol.2018.12.060