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] Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning
With increasing environmental problems of fossil fuel-based devices and systems in
societies, diffusion and adoption of sustainability solutions such as renewable energy …
societies, diffusion and adoption of sustainability solutions such as renewable energy …
[HTML][HTML] Digital twins for performance management in the built environment
Recent events worldwide of climate and geological origins highlight the vulnerability of our
infrastructures and stress the often dramatic consequences on our environment. Accurate …
infrastructures and stress the often dramatic consequences on our environment. Accurate …
Neural network based optimization approach for energy demand prediction in smart grid
Energy usage and demand forecasting is an essential and complex task in real time
implementation. Proper coordination is required between the consumer and power …
implementation. Proper coordination is required between the consumer and power …
A review on building energy efficient design optimization rom the perspective of architects
X Shi, Z Tian, W Chen, B Si, X ** - Renewable and Sustainable Energy …, 2016 - Elsevier
Energy efficiency is a mandatory requirement and integral part of green and sustainable
buildings. Energy efficient design optimization is both a design philosophy and a practical …
buildings. Energy efficient design optimization is both a design philosophy and a practical …
A review on machine learning forecasting growth trends and their real-time applications in different energy systems
T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …
policy formulation. The forecasting model selection mostly based on the availability of the …
Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC)
N Delgarm, B Sajadi, S Delgarm - Energy and Buildings, 2016 - Elsevier
The aim of this paper is to present a powerful simulation-based multi-objective optimization
of building energy efficiency and indoor thermal comfort to obtain the optimal solutions of the …
of building energy efficiency and indoor thermal comfort to obtain the optimal solutions of the …
ANN–GA smart appliance scheduling for optimised energy management in the domestic sector
Smart scheduling of energy consuming devices in the domestic sector should factor in clean
energy generation potential, electricity tariffs, and occupants' behaviour (ie, interactions with …
energy generation potential, electricity tariffs, and occupants' behaviour (ie, interactions with …
Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms
The energy requalification of existing buildings entails the fulfillment of different, often
conflicting, criteria, such as the reduction of the specific annual energy demand, the …
conflicting, criteria, such as the reduction of the specific annual energy demand, the …
Deep learning techniques for energy forecasting and condition monitoring in the manufacturing sector
VJ Mawson, BR Hughes - Energy and Buildings, 2020 - Elsevier
The industrial and building sector demands the largest proportion of global energy, therefore
adopting energy efficiency related strategies, optimization techniques and management is …
adopting energy efficiency related strategies, optimization techniques and management is …