[HTML][HTML] Artificial intelligence for electricity supply chain automation
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …
processes ranging from production to transportation and consumption of electricity. The …
Machine learning and statistical models for predicting indoor air quality
Indoor air quality (IAQ), as determined by the concentrations of indoor air pollutants, can be
predicted using either physically based mechanistic models or statistical models that are …
predicted using either physically based mechanistic models or statistical models that are …
Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model
C Rao, Y Zhang, J Wen, X Xiao, M Goh - Energy, 2023 - Elsevier
Analyzing the drivers of energy demand and predicting energy consumption can help to
shape national policies on energy transformation and energy security. This paper estimates …
shape national policies on energy transformation and energy security. This paper estimates …
A comparative assessment of SARIMA, LSTM RNN and Fb Prophet models to forecast total and peak monthly energy demand for India
Selecting a suitable energy demand forecasting method is challenging due to the complex
interplay of long-term trends, short-term seasonalities, and uncertainties. This paper …
interplay of long-term trends, short-term seasonalities, and uncertainties. This paper …
Toward to economic growth without emission growth: The role of urbanization and industrialization in China and India
The contradiction between economic growth and carbon emissions in China and India is the
most prominent in the world. Both countries have faced tremendous pressures to curb …
most prominent in the world. Both countries have faced tremendous pressures to curb …
Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity …
The existing measurement of the impact of the COVID-19 pandemic on energy consumption
is based on changes between the years, which demonstrates the changes in energy …
is based on changes between the years, which demonstrates the changes in energy …
Short-term electricity prices forecasting using functional time series analysis
In recent years, efficient modeling and forecasting of electricity prices became highly
important for all the market participants for developing bidding strategies and making …
important for all the market participants for developing bidding strategies and making …
Impact of COVID-19 pandemic on oil consumption in the United States: a new estimation approach
The COVID-19 pandemic broke the balance of oil supply and demand. Meeting these oil
market challenges induced by the pandemic required a more accurate assessment of the …
market challenges induced by the pandemic required a more accurate assessment of the …
Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …
The effect of green finance on energy sustainable development: a case study in China
B Zhang, Y Wang - Emerging Markets Finance and Trade, 2021 - Taylor & Francis
Green finance development is a comprehensive system with three aspects interacted:
economic, environmental, and financial activities. Based on its internal mechanism, this …
economic, environmental, and financial activities. Based on its internal mechanism, this …