Review and prospect of data-driven techniques for load forecasting in integrated energy systems
With synergies among multiple energy sectors, integrated energy systems (IESs) have been
recognized lately as an effective approach to accommodate large-scale renewables and …
recognized lately as an effective approach to accommodate large-scale renewables and …
Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
Y Hu, Y Man - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
The industrial process consumes substantial energy and emits large amounts of carbon
dioxide. With the help of accurate energy consumption and carbon emissions forecasting …
dioxide. With the help of accurate energy consumption and carbon emissions forecasting …
[HTML][HTML] Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks
Energy forecasting plays an important role in effective power grid management. The
widespread adoption of emerging technologies and the increased reliance on renewable …
widespread adoption of emerging technologies and the increased reliance on renewable …
[HTML][HTML] Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis
The world has witnessed a significant population shift to urban areas over the past few
decades. Urban areas account for about two-thirds of the world's total primary energy …
decades. Urban areas account for about two-thirds of the world's total primary energy …
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …
pollution. Growing load requirement, global warming, and energy crisis need energy …
Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Managing energy demand and reducing greenhouse gas emissions are among the most
significant challenges ahead for many countries. Accurate prediction of energy demand and …
significant challenges ahead for many countries. Accurate prediction of energy demand and …
When pandemics impact economies and climate change: Exploring the impacts of COVID-19 on oil and electricity demand in China
Despite all the scientific and technological developments in the past one hundred years,
biologic issues such as pandemics are a constant threat to society. While one of the aspects …
biologic issues such as pandemics are a constant threat to society. While one of the aspects …
[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
A review on time series forecasting techniques for building energy consumption
Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …
sustainability research. Accurate energy forecasting models have numerous implications in …
[HTML][HTML] Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches
About 75% of the world's energy consumption takes place in cities. Although their large
energy consumption attracts a large number of research projects, only a small fraction of …
energy consumption attracts a large number of research projects, only a small fraction of …