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Dhiaa A. Musleh and Maissa A. Al Metrik
Electricity is widely regarded as the most adaptable form of energy and a major secondary energy source. However, electricity is not economically storable; therefore, the power system requires a continuous balance of electricity production and consumptio...
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Ning Jin, Linlin Song, Gabriel Jing Huang and Ke Yan
Residential electricity consumption forecasting plays a crucial role in the rational allocation of resources reducing energy waste and enhancing the grid-connected operation of power systems. Probabilistic forecasting can provide more comprehensive infor...
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Ahmad Taha, Basel Barakat, Mohammad M. A. Taha, Mahmoud A. Shawky, Chun Sing Lai, Sajjad Hussain, Muhammad Zainul Abideen and Qammer H. Abbasi
Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around us, this has become relativel...
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Jiaping Liang, Hang Li, Na Li, Qiliang Yang and Linchao Li
Rapeseed is one of China?s major oil crops, and accurate yield forecasting is crucial to the growth of the rapeseed industry and the country?s food security. In this study, the data on natural and socio-economic factors from 2001 to 2020 and the yield of...
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Mostafa Aliyari and Yonas Zewdu Ayele
This article aims to assess the effectiveness of state-of-the-art artificial neural network (ANN) models in time series analysis, specifically focusing on their application in prediction tasks of critical infrastructures (CIs). To accomplish this, shallo...
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Ilyushin Pavel Yurievich, Vyatkin Kirill Andreevich and Kozlov Anton Vadimovich
The modern oil industry is characterized by a strong trend towards the digitalization of all technological processes. At the same time, during the transition of oil fields to the later stages of development, the issues of optimizing the consumed electric...
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Yaolin Lin, Jingye Liu, Kamiel Gabriel, Wei Yang and Chun-Qing Li
Buildings consume about 40% of the global energy. Building energy consumption is affected by multiple factors, including building physical properties, performance of the mechanical system, and occupants? activities. The prediction of building energy cons...
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Zichao He, Chunna Zhao and Yaqun Huang
Multivariate time series forecasting has long been a subject of great concern. For example, there are many valuable applications in forecasting electricity consumption, solar power generation, traffic congestion, finance, and so on. Accurately forecastin...
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Qasem Abu Al-Haija
The determination of electric energy consumption is remarked as one of the most vital objectives for electrical engineers as it is highly essential in determining the actual energy demand made on the existing electricity supply. Therefore, it is importan...
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Daniel N. de Bruyn, Ben Kotze and William Hurst
Time-based smart home controllers govern their environment with a predefined routine, without knowing if this is the most efficient way. Finding a suitable model to predict energy consumption could prove to be an optimal method to manage the electricity ...
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