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Yunchuan Liu, Amir Ghasemkhani and Lei Yang
This paper investigates the short-term wind farm generation forecast. It is observed from the real wind farm generation measurements that wind farm generation exhibits distinct features, such as the non-stationarity and the heterogeneous dynamics of ramp...
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Zul - Amry
Pág. 96 - 102
This paper presents a Bayesian approach to find the Bayesian model for the point forecast of ARMA model under normal-gamma prior assumption with quadratic loss function in the form of mathematical expression. The conditional posterior predictive density ...
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Ming-Jui Chang, I-Hang Huang, Chih-Tsung Hsu, Shiang-Jen Wu, Jihn-Sung Lai and Gwo-Fong Lin
Accurate real-time forecasts of inundation depth and area during typhoon flooding is crucial to disaster emergency response. The development of an inundation forecasting model has been recognized as essential to manage disaster risk. In the past, most re...
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Due to the nonlinear and non-stationary characteristics of the carbon price, it is difficult to predict the carbon price accurately. This paper proposes a new novel hybrid model for carbon price prediction. The proposed model consists of an extreme-point...
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Daniela Solomon,Simona Dragomirescu
To ensure efficient financial management is necessary to achieve the forecast of economic and financial performance on the basis of diagnostic analysis, approach most often developed starting from the prediction of turnover and also necessary for shaping...
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José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat...
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Deokhwan Kim, Cheolhee Jang, Jeonghyeon Choi and Jaewon Kwak
As a significant portion of the available water resources in volcanic terrains such as Jeju Island are dependent on groundwater, reliable groundwater level forecasting is one of the important tasks for efficient water resource management. This study aims...
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Andrey Pavlov
Pág. 9 - 13
This article is the second part of the article "Optimal Linear Forecast". The results of this article continue the study of optimal linear projections in three-dimensional space from the point of view of comparing the lengths in two different metrics giv...
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Shuang Li, Peng Hao, Chengcheng Yu and Gengkun Wu
Significant wave height (SWH) prediction plays an important role in marine engineering areas such as fishery, exploration, power generation, and ocean transportation. For long-term forecasting of a specific location, classical numerical model wave height...
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Boris Pospelov,Volodymyr Kovrehin,Evgeniy Rybka,Olekcii Krainiukov,Olena Petukhova,Tetiana Butenko,Pavlo Borodych,Ihor Morozov,Oleksii Horbov,Inna Hrachova
Pág. 49 - 56
A method has been developed to detect hazardous conditions of contaminated air in urban areas in real time for an arbitrary number of pollutants. The method is based on restoring the hidden dynamics of the combined risk of instantaneous action on the bas...
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Svitlana Sharai,Myroslav Oliskevych,Maksym Roi
Pág. 70 - 83
The article deals with the interrelated processes of cargo transportation on the main road transport network. The problem of distribution of available vehicles was stated. The flows of incoming orders are stochastic, but have no features of the simplest....
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Rodrigo Duran, Lucy Romeo, Jonathan Whiting, Jason Vielma, Kelly Rose, Amoret Bunn and Jennifer Bauer
The Department of Energy’s (DOE’s) National Energy Technology Laboratory’s (NETL’s) Blowout and Spill Occurrence Model (BLOSOM), and the National Oceanic and Atmospheric Administration’s (NOAA’s) General NOAA Operation...
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Rodrigo Duran, Lucy Romeo, Jonathan Whiting, Jason Vielma, Kelly Rose, Amoret Bunn and Jennifer Bauer
The Department of Energy’s (DOE’s) National Energy Technology Laboratory’s (NETL’s) Blowout and Spill Occurrence Model (BLOSOM), and the National Oceanic and Atmospheric Administration’s (NOAA’s) General NOAA Operation...
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Rodrigo Duran, Lucy Romeo, Jonathan Whiting, Jason Vielma, Kelly Rose, Amoret Bunn and Jennifer Bauer
The Department of Energy?s (DOE?s) National Energy Technology Laboratory?s (NETL?s) Blowout and Spill Occurrence Model (BLOSOM), and the National Oceanic and Atmospheric Administration?s (NOAA?s) General NOAA Operational Modeling Environment (GNOME) are ...
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Pavol Kurdel, Natália Gecejová, Marek Ce?kovic and Anna Yakovlieva
Unmanned aerial vehicle technology is the most advanced and helpful in almost every area of interest in human work. These devices become autonomous and can fulfil a variety of tasks, from simple imaging and obtaining data to search and rescue operations....
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Benjamin Burrichter, Juliana Koltermann da Silva, Andre Niemann and Markus Quirmbach
This study employs a temporal fusion transformer (TFT) for predicting overflow from sewer manholes during heavy rainfall events. The TFT utilised is capable of forecasting overflow hydrographs at the manhole level and was tested on a sewer network with 9...
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Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia and Marco Mussetta
Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inherent ...
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Ufuk Beyaztas and Hanlin Shang
We propose a functional time series method to obtain accurate multi-step-ahead forecasts for age-specific mortality rates. The dynamic functional principal component analysis method is used to decompose the mortality curves into dynamic functional princi...
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Jin Han and Hongmei Chang
In the context of the energy crisis and global climate deterioration, the sustainable development of clean energy will become a new direction for future energy development. Based on the development process of clean energy in China in the past ten years, ...
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Venkataramana Veeramsetty, Modem Sai Pavan Kumar and Surender Reddy Salkuti
Short-term electric power load forecasting is a critical and essential task for utilities in the electric power industry for proper energy trading, which enables the independent system operator to operate the network without any technical and economical ...
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