A deep learning framework for building energy consumption forecast
Increasing global building energy demand, with the related economic and environmental
impact, upsurges the need for the design of reliable energy demand forecast models. This …
impact, upsurges the need for the design of reliable energy demand forecast models. This …
Building energy prediction using artificial neural networks: A literature survey
C Lu, S Li, Z Lu - Energy and Buildings, 2022 - Elsevier
Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …
improving energy efficiency in building energy management systems. Essentially, building …
[PDF][PDF] Forecasting energy consumption using a novel hybrid dipper throated optimization and stochastic fractal search algorithm
DS Khafaga, ESM El-kenawy… - … Automation & Soft …, 2023 - cdn.techscience.cn
The accurate prediction of energy consumption has effective role in decision making and
risk management for individuals and governments. Meanwhile, the accurate prediction can …
risk management for individuals and governments. Meanwhile, the accurate prediction can …
Improving electric energy consumption prediction using CNN and Bi-LSTM
The electric energy consumption prediction (EECP) is an essential and complex task in
intelligent power management system. EECP plays a significant role in drawing up a …
intelligent power management system. EECP plays a significant role in drawing up a …
DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems
In the era of cutting edge technology, excessive demand for electricity is rising day by day,
due to the exponential growth of population, electricity reliant vehicles, and home …
due to the exponential growth of population, electricity reliant vehicles, and home …
A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network
The alpha–beta filter algorithm has been widely researched for various applications, for
example, navigation and target tracking systems. To improve the dynamic performance of …
example, navigation and target tracking systems. To improve the dynamic performance of …
Short-term prediction of residential power energy consumption via CNN and multi-layer bi-directional LSTM networks
Excessive Power Consumption (PC) and demand for power is increasing on a daily basis,
due to advancements in technology, the rise in electricity-dependent machinery, and the …
due to advancements in technology, the rise in electricity-dependent machinery, and the …
[HTML][HTML] A new approach to seasonal energy consumption forecasting using temporal convolutional networks
There has been a significant increase in the attention paid to resource management in smart
grids, and several energy forecasting models have been published in the literature. It is well …
grids, and several energy forecasting models have been published in the literature. It is well …
A review on energy consumption optimization techniques in IoT based smart building environments
In recent years, due to the unnecessary wastage of electrical energy in residential buildings,
the requirement of energy optimization and user comfort has gained vital importance. In the …
the requirement of energy optimization and user comfort has gained vital importance. In the …
Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine
A smart city is a sustainable and effective metropolitan hub, that offers its residents high
excellence of life through appropriate resource management. Energy management is …
excellence of life through appropriate resource management. Energy management is …