[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …
resulted in increased energy demand. Since energy resources are scarce and should be …
The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …
combat global climate change. We identify two crucial opportunities that AI offers in this …
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Accurate and reliable solar irradiance forecasting can bring significant benefits for managing
electricity generation and distributing modern smart grid. However, the characteristics of …
electricity generation and distributing modern smart grid. However, the characteristics of …
Hybrid decision tree-based machine learning models for short-term water quality prediction
Water resources are the foundation of people's life and economic development, and are
closely related to health and the environment. Accurate prediction of water quality is the key …
closely related to health and the environment. Accurate prediction of water quality is the key …
A hybrid model for carbon price forecasting using GARCH and long short-term memory network
The reform of the EU ETS markets in 2017 has induced new carbon price forecasting
challenges. This study proposes a novel decomposition-ensemble paradigm VMD …
challenges. This study proposes a novel decomposition-ensemble paradigm VMD …
Leakage detection techniques for oil and gas pipelines: State-of-the-art
H Lu, T Iseley, S Behbahani, L Fu - Tunnelling and Underground Space …, 2020 - Elsevier
The leakage of oil and gas pipelines may cause significant safety accidents and economic
losses. In order to reduce the probability of pipeline failure, leak detection of pipelines is an …
losses. In order to reduce the probability of pipeline failure, leak detection of pipelines is an …
Impact of carbon trading on agricultural green total factor productivity in China
D Yu, L Liu, S Gao, S Yuan, Q Shen, H Chen - Journal of Cleaner …, 2022 - Elsevier
The implementation of the carbon trading system has a great impact on all aspects of the
economy and society. Agriculture, which accounts for 34% of global carbon emissions, has …
economy and society. Agriculture, which accounts for 34% of global carbon emissions, has …
Analysis and forecast of China's energy consumption structure
In the context of the practice of high-quality social development gradually deepening, the
optimization of energy structure is an important link to promote high-quality economic …
optimization of energy structure is an important link to promote high-quality economic …
Thermal coal futures trading volume predictions through the neural network
B **, X Xu, Y Zhang - Journal of Modelling in Management, 2024 - emerald.com
Purpose Predicting commodity futures trading volumes represents an important matter to
policymakers and a wide spectrum of market participants. The purpose of this study is to …
policymakers and a wide spectrum of market participants. The purpose of this study is to …
Forecasting carbon price in China using a novel hybrid model based on secondary decomposition, multi-complexity and error correction
H Yang, X Yang, G Li - Journal of Cleaner Production, 2023 - Elsevier
As global warming intensifies, the reduction of carbon emissions is imminent. Carbon price
is directly related to whether carbon can be effectively reduced. Therefore, accurately …
is directly related to whether carbon can be effectively reduced. Therefore, accurately …