Towards buildings energy management: using seasonal schedules under time of use pricing tariff via deep neuro-fuzzy optimizer
Management of increasing amount of the electricity information provided by the smart meters
is becoming more valuable and a very challenging issue in modern era, especially in …
is becoming more valuable and a very challenging issue in modern era, especially in …
[HTML][HTML] Fuzzy-based smart energy management system for residential buildings in Saudi Arabia: A comparative study
MA Alghassab - Energy Reports, 2024 - Elsevier
Abstract Considering Saudi Arabia's strategy entails economic diversification and a
reduction in dependency on oil, a change towards sustainable and efficient energy …
reduction in dependency on oil, a change towards sustainable and efficient energy …
Fuzzy logic supervisor-based novel energy management strategy reflecting different virtual power plants
The designs of the different components of current power grids are undergoing a significant
change corresponding to various energy management strategies (EMSs). Standalone plants …
change corresponding to various energy management strategies (EMSs). Standalone plants …
[HTML][HTML] Thermal comfort driven space heating control via hierarchical state machine strategy interacting with multiphysics simulation
Improving energy efficiency of space heating systems is as important as adopting emerging
clean energy technologies for decarbonising heating. While exploring strategies for …
clean energy technologies for decarbonising heating. While exploring strategies for …
Type-1 fuzzy logic algorithm for low cost embedded systems
ASF Sobrinho, FG Junior - Computers & Electrical Engineering, 2020 - Elsevier
This paper presents in detail a type-1 fuzzy logic algorithm developed in C language to be
used in 8-bit low cost embedded systems, adaptable to different applications. It is also …
used in 8-bit low cost embedded systems, adaptable to different applications. It is also …
Towards efficient human–machine interaction for home energy management with seasonal scheduling using deep fuzzy neural optimizer
Maintaining the records of domestic consumers' electricity consumption patterns is very
complex task for the utilities, especially for extracting the meaningful information to maintain …
complex task for the utilities, especially for extracting the meaningful information to maintain …
A heating controller designing based on living space heating dynamic's model approach in a smart building
R Sadeghian Broujeny, K Madani, A Chebira… - Energies, 2021 - mdpi.com
Most already advanced developed heating control systems remain either in a prototype state
(because of their relatively complex implementation requirements) or require very specific …
(because of their relatively complex implementation requirements) or require very specific …
Operation strategy of smart thermostats that self-learn user preferences
Smart thermostats can automatically adjust indoor temperature based on user preferences
to save electricity bills without significantly comprising comfort. However, current smart …
to save electricity bills without significantly comprising comfort. However, current smart …
An embedded platform for testbed implementation of multi-agent system in building energy management system
This paper presents a hardware testbed for testing the building energy management system
(BEMS) based-on the multi agent system (MAS). The objective of BEMS is to maximize user …
(BEMS) based-on the multi agent system (MAS). The objective of BEMS is to maximize user …
Sliding time window electricity consumption optimization algorithm for communities in the context of big data processing
Big data frameworks enable companies from various fields to build models that allow them
to increase profit margins by improving decision making at different levels (middle …
to increase profit margins by improving decision making at different levels (middle …