Artificial intelligence evolution in smart buildings for energy efficiency
The emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
Artificial intelligence and economic development: An evolutionary investigation and systematic review
In today's environment of the rapid rise of artificial intelligence (AI), debate continues about
whether it has beneficial effects on economic development. However, there is only a …
whether it has beneficial effects on economic development. However, there is only a …
Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms
Ü Ağbulut - Sustainable Production and Consumption, 2022 - Elsevier
Adverse impacts of the transportation sector on not only air quality but also economic growth
of a country are nowadays well-noticed, particularly by developing countries. Today, the …
of a country are nowadays well-noticed, particularly by developing countries. Today, the …
Holt–Winters smoothing enhanced by fruit fly optimization algorithm to forecast monthly electricity consumption
Electricity consumption forecasting is essential for intelligent power systems. In fact, accurate
forecasting of monthly consumption to predict medium-and long-term demand substantially …
forecasting of monthly consumption to predict medium-and long-term demand substantially …
Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network
Reliable energy consumption forecasting can provide effective decision-making support for
planning development strategies to energy enterprises and for establishing national energy …
planning development strategies to energy enterprises and for establishing national energy …
Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
This study formulates the effects of two different historical data types on electrical energy
consumption of ASEAN-5 counties. On this basis, optimized GEP (gene expression …
consumption of ASEAN-5 counties. On this basis, optimized GEP (gene expression …
Long-term electric energy consumption forecasting via artificial cooperative search algorithm
This study mathematically formulates the effects of socio-economic indicators (gross
domestic production, population, stock index, export, and import) on Iran's electric energy …
domestic production, population, stock index, export, and import) on Iran's electric energy …
Effective energy consumption forecasting using enhanced bagged echo state network
Precise analysis and forecasting of energy consumption not only affects energy security and
environment of a nation but also provides a useful decision basis for policy makers. This …
environment of a nation but also provides a useful decision basis for policy makers. This …
Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types
FJ Ardakani, MM Ardehali - Energy, 2014 - Elsevier
The objectives of this study are (a) development of optimized regression and ANN (artificial
neural network) models for EEC (electrical energy consumption) forecasting based on …
neural network) models for EEC (electrical energy consumption) forecasting based on …
Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm
The main objective of the present study was to apply the ANN (artificial neural network)
model with the TLBO (teaching–learning-based optimization) algorithm to estimate energy …
model with the TLBO (teaching–learning-based optimization) algorithm to estimate energy …