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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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Ping Jiang and Ying Nie
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends. Accurate load point forecasting can provide a guarantee for the dai...
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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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Edward J. Lusk
Pág. 01 - 16
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Sultan Noman Qasem, Saeed Samadianfard, Hamed Sadri Nahand, Amir Mosavi, Shahaboddin Shamshirband and Kwok-wing Chau
In the current study, the ability of three data-driven methods of Gene Expression Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were investigated in order to model and estimate the dew point temperature (DPT) at Tabriz statio...
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Stephen Haben, Julien Caudron and Jake Verma
The energy sector is moving towards a low-carbon, decentralised, and smarter network. The increased uptake of distributed renewable energy and cheaper storage devices provide opportunities for new local energy markets. These local energy markets will req...
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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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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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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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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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Martina Zelenáková, Vinayakam Jothiprakash, Sasi Arjun, Daniela Káposztásová and Helena Hlavatá
Evaporation and precipitation are often considered the most important processes in the water cycle. Recent studies have turned to chaotic analysis and short-term prediction for analyzing and forecasting the time series of such phenomena. However, even wi...
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Aurora Skrame, Claudio Ciancio, Vincenzo Corvello and Roberto Musmanno
The purpose of this article is to develop a quantitative model that supports policy makers in the tourism sector in making socially responsible investment decisions. In particular, this paper proposes a methodological approach to assess the impact of str...
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Pengxuan Zhao, Chuanhai Wang, Jinning Wu, Gang Chen, Tianshu Zhang, Youlin Li and Pingnan Zhang
In the wake of frequent and intensive human activities, highly urbanized areas consistently grapple with severe water environmental challenges. It becomes imperative to establish corresponding water environment models for simulating and forecasting regio...
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Xiwen Qin, Dongmei Yin, Xiaogang Dong, Dongxue Chen and Shuang Zhang
Passenger flow is an important benchmark for measuring tourism benefits, and accurate tourism passenger flow prediction is of great significance to the government and related tourism enterprises and can promote the sustainable development of China?s tour...
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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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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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Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
This research proposes an investigative experiment employing binary classification for short-term electricity price spike forecasting. Numerical definitions for price spikes are derived from economic and statistical thresholds. The predictive task employ...
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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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Long Zhao, Zhe Zhang, Fei Dong, Yicheng Fu, Lei Hou, Jingqiang Liu and Yibing Wang
Rainfall has a significant impact on surface runoff and erosion in a watershed, and there is a lack of information about the features of rainfall regimes and how they affect runoff and soil erosion. In the paper, based on 59 rainfall events from 2021 to ...
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A. Y. Shikhovtsev, P. G. Kovadlo, A. A. Lezhenin, V. S. Gradov, P. O. Zaiko, M. A. Khitrykau, K. E. Kirichenko, M. B. Driga, A. V. Kiselev, I. V. Russkikh, V. A. Obolkin and M. Yu. Shikhovtsev
The present study is aimed at the development of a novel empirical base for application to ground-based astronomical telescopes. A Weather Research and Forecasting (WRF) model is used for description of atmospheric flow structure with a high spatial reso...
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