Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
The role of machine learning and the internet of things in smart buildings for energy efficiency
Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …
use the Internet of Things (IoT) to connect building operations, enable activities, such as …
Novel neural network optimized by electrostatic discharge algorithm for modification of buildings energy performance
Proper analysis of building energy performance requires selecting appropriate models for
handling complicated calculations. Machine learning has recently emerged as a promising …
handling complicated calculations. Machine learning has recently emerged as a promising …
[HTML][HTML] A literature review on an IoT-based intelligent smart energy management systems for PV power generation
Renewable energy is the most dependable and universally acknowledged way of meeting
the world's expanding energy needs. In order to optimize solar energy generation, particular …
the world's expanding energy needs. In order to optimize solar energy generation, particular …
Energy retrofitting of hospital buildings considering climate change: An approach integrating automated machine learning with NSGA-III for multi-objective optimization
Y Shi, P Chen - Energy and Buildings, 2024 - Elsevier
In the context of sustainable development, energy-saving renovation of existing buildings
can not only effectively reduce energy consumption but also improvement the residential …
can not only effectively reduce energy consumption but also improvement the residential …
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …
solutions to decision-making problems based on survey or historical data about the …
[HTML][HTML] The artificial intelligence reformation of sustainable building design approach: A systematic review on building design optimization methods using surrogate …
Artificial Intelligence (AI) applications in building performance prediction for environmental
sustainability outcomes play a significant role in compensating for computationally …
sustainability outcomes play a significant role in compensating for computationally …
[HTML][HTML] BIM integration with XAI using LIME and MOO for automated green building energy performance analysis
Achieving sustainable green building design is essential to reducing our environmental
impact and enhancing energy efficiency. Traditional methods often depend heavily on …
impact and enhancing energy efficiency. Traditional methods often depend heavily on …
[HTML][HTML] A meta-survey on intelligent energy-efficient buildings
The rise of the Internet of Things (IoT) has enabled the development of smart cities,
intelligent buildings, and advanced industrial ecosystems. When the IoT is matched with …
intelligent buildings, and advanced industrial ecosystems. When the IoT is matched with …
Multi-objective optimization based on surrogate models for sustainable building design: A systematic literature review
Surrogate models can overcome the building performance simulation complexity and
replace time-consuming simulation engines within multi-objective optimization studies …
replace time-consuming simulation engines within multi-objective optimization studies …