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Juan D. Borrero and Jesus Mariscal
Efforts across diverse domains like economics, energy, and agronomy have focused on developing predictive models for time series data. A spectrum of techniques, spanning from elementary linear models to intricate neural networks and machine learning algo...
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Cristiana Tudor and Robert Sova
The European Union (EU) has positioned itself as a frontrunner in the worldwide battle against climate change and has set increasingly ambitious pollution mitigation targets for its members. The burden is heavier for the more vulnerable economies in Cent...
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Amina Chanysheva and Alina Ilinova
The development of Arctic marine resources is currently the focus of the world?s largest oil and gas companies, which is due to the presence of significant hydrocarbon reserves. However, the decision-making process for implementing offshore oil and gas p...
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Alket Cecaj, Marco Lippi, Marco Mamei and Franco Zambonelli
The possibility of sensing and predicting the movements of crowds in modern cities is of fundamental importance for improving urban planning, urban mobility, urban safety, and tourism activities. However, it also introduces several challenges at the leve...
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Serena Moretto, Francesca Bozzano, Carlo Esposito, Paolo Mazzanti and Alfredo Rocca
In this work, the ability of advanced satellite interferometry to monitor pre-failure landslide behaviours and the potential application of this technique to Failure Forecasting Methods (FFMs) are analysed. Several limits affect the ability of the techni...
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M. B. Kurhan,D. M. Kurhan
Pág. 117 - 130
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Simona Elena Dragomirescu,Daniela Cristina Solomon
One of the most important stages in the budget drafting process is the sales forecasting. As a matter of fact, the sales affect the whole activity of a company, their variation being considered the main risk factor for the performance and the financial p...
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Cruz E. Borges, Yoseba K. Penya, Iván Fernández, Juan Prieto and Oscar Bretos
Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted does not seem to be stationary, seasonal and regular but, on the contrary, it may be subject to sudden changes and variations on its con...
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I. V. Klimenko
Pág. 274 - 276
In the article the use of method of T. Demark for construction of the operative forecast of the basic indicators of activity of railway transport enterprises is offered.
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H. A. Kramarenko,A. V. Nechay,V. V. Skalozub
Pág. 254 - 258
The possibilities of chaotic dynamics methods applied to the topical analysis and forecasting problems of economic and technological properties of wagon streams represented by the related time series are studied. The advisability of using the generalized...
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V. V. Skalozub,I. V. Klymenko
Pág. 291 - 295
The results of research and operational forecasting the properties of economic time series derived from models of the generalized logistic map are presented.
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Konstantinos P. Fourkiotis and Athanasios Tsadiras
In today?s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to stren...
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Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller, Miguel Martínez-Comesaña and Sérgio Ramos
Characterizing the electric energy curve can improve the energy efficiency of existing buildings without any structural change and is the basis for controlling and optimizing building performance. Artificial Intelligence (AI) techniques show much potenti...
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Vadim Kramar and Vasiliy Alchakov
The models for forecasting time series with seasonal variability can be used to build automatic real-time control systems. For example, predicting the water flowing in a wastewater treatment plant can be used to calculate the optimal electricity consumpt...
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Obuks Augustine Ejohwomu, Olakekan Shamsideen Oshodi, Majeed Oladokun, Oyegoke Teslim Bukoye, Nwabueze Emekwuru, Adegboyega Sotunbo and Olumide Adenuga
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Yulia Timoshenkova,Sergey Porshnev,Nikolai Safiullin
Pág. 15 - 23
The article describes the method developed by the authors for integration of formal methods of time series (TS) forecasting (autoregressive integrated moving average (ARIMA), singular spectrum analysis, group method of data handling, artificial recurrent...
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El houssin Ouassou and Hafsa Taya
Tourism is one of the main sources of wealth for the Moroccan regions, since, in 2019, it contributed 7.1% to the total GDP. However, it is considered to be one of the sectors most vulnerable to exogenous shocks (political and social stability, currency ...
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Lara Ramadan, Isam Shahrour, Hussein Mroueh and Fadi Hage Chehade
Improving the energy efficiency of the building sector has become an increasing concern in the world, given the alarming reports of greenhouse gas emissions. The management of building energy systems is considered an essential means for achieving this go...
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Lucky O. Daniel, Caston Sigauke, Colin Chibaya and Rendani Mbuvha
Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable energy sources. This work addr...
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Elena Doynikova, Evgenia Novikova and Igor Kotenko
Early detection of the security incidents and correct forecasting of the attack development is the basis for the efficient and timely response to cyber threats. The development of the attack depends on future steps available to the attackers, their goals...
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