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Ayushi Chahal, Preeti Gulia, Nasib Singh Gill and Ishaani Priyadarshini
IoT devices collect time-series traffic data, which is stochastic and complex in nature. Traffic flow prediction is a thorny task using this kind of data. A smart traffic congestion prediction system is a need of sustainable and economical smart cities. ...
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Qi Qian, Liang Shu, Yuxiang Leng and Zhizhou Bao
In order to improve the downlink communication performance of the traditional LoRa wide area network (LoRaWAN), a LoRaWAN downlink routing control strategy based on the software defined networks (SDN) framework and the improved auto-regressive integrated...
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Yuqing Gao, Khalid M. Mosalam, Yueshi Chen, Wei Wang and Yiyi Chen
Auto-regressive (AR) time series (TS) models are useful for structural damage detection in vibration-based structural health monitoring (SHM). However, certain limitations, e.g., non-stationarity and subjective feature selection, have reduced its wide-sp...
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Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy...
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Abdelkader Sahed, Mohammeed Mekidiche, Hacen Kahoui
Pág. 1 - 13
In this study, the Fuzzy Auto-Regressive Integrated Moving Average (FARIMA) Model has been used to predict gold prices, The main objective was to estimate the fractional parameters by using the fuzzy regression method of TANAKA. The prediction accuracy o...
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Lukasz Sobaszek, Arkadiusz Gola and Edward Kozlowski
Production scheduling is attracting considerable scientific interest. Effective scheduling of production jobs is a critical element of smooth organization of the work in an enterprise and, therefore, a key issue in production. The investigations focus on...
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Due to an imminent fossil energy crisis and environmental pollution, renewable energy, such as photovoltaics, has been vigorously developing. However, the output of photovoltaic energy has strong volatility and intermittency. Thus, the photovoltaic gener...
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Arindam Banerjee
Pág. 268 - 276
The India VIX represents the sentiment of traders in the Indian market, so by forecasting the future value of India VIX, we get a feel for investor sentiment in future. The objective of this study is to fit a forecasting model on India VIX using auto reg...
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Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan
Forecasting hourly spot prices for real-time electricity markets is a key activity in economic and energy trading operations. This paper proposes a novel two-stage approach that uses a combination of Auto-Regressive Integrated Moving Average (ARIMA) with...
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Chun-Feng Hao, Jun Qiu, Fang-Fang Li
Pág. 1 - 16
With the rapid economic growth in China, a large number of hydropower projects have been planned and constructed. The sediment deposition of the reservoirs is one of the most important disputes during the construction and operation, because there are man...
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