Improving Temperature Control in Smart Buildings Based in IoT Network Slicing Technique

2019 ◽  
Author(s):  
Roberto Casado-Vara ◽  
Fernando De la Prieta ◽  
Javier Prieto ◽  
Juan M. Corchado
Keyword(s):  
Temperature Control ◽  
Network Slicing ◽  
Smart Buildings

Energy Efficient Temperature Control with Particle Swarm Optimization for Smart Buildings

2013 ◽  
Vol 711 ◽  
pp. 518-522
Author(s):  
Jeong Hyuk Kim ◽  
Chang Jin Boo ◽  
Ho Chan Kim
Keyword(s):  
Particle Swarm Optimization ◽  
Temperature Control ◽  
Energy Efficient ◽  
Peak Power ◽  
Control Algorithm ◽  
Particle Swarm ◽  
Energy Costs ◽  
Swarm Optimization ◽  
Smart Buildings ◽  
Switching Method

In this paper, the energy efficient temperature control algorithm in smart buildings is proposed using particle swarm optimization (PSO). A control horizon switching method with PSO is used for optimal control, and the TOU tariff is included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.

A Distributed Multi Party Consensus Algorithm for Temperature Control in Smart Buildings

2021 ◽  
Author(s):  
Sanjoy Mondal ◽  
Alok Ranjan ◽  
Pushkar Kumar ◽  
Shivam Kumar ◽  
Debarghya Sinha Roy ◽  
...  
Keyword(s):  
Temperature Control ◽  
Consensus Algorithm ◽  
Smart Buildings

IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings

2020 ◽  
Vol 102 ◽  
pp. 965-977 ◽  
Author(s):  
Roberto Casado-Vara ◽  
Angel Martin-del Rey ◽  
Soffiene Affes ◽  
Javier Prieto ◽  
Juan M. Corchado
Keyword(s):  
Network Slicing ◽  
Smart Buildings ◽  
Algorithm Operation ◽  
Homogeneous Data ◽  
Improved Algorithm

A High Angle, Double Tilting Cold Stage for the AEI EM7

1974 ◽  
Vol 32 ◽  
pp. 450-451
Author(s):  
P.R. Swann ◽  
A.E. Lloyd
Keyword(s):  
Habit Plane ◽  
Temperature Control ◽  
Tilt Angle ◽  
Cooling System ◽  
Thermal Drift ◽  
High Angle ◽  
Cold Stage ◽  
High Degree ◽  
Better Than

Figure 1 shows the design of a specimen stage used for the in situ observation of phase transformations in the temperature range between ambient and −160°C. The design has the following features a high degree of specimen stability during tilting linear tilt actuation about two orthogonal axes for accurate control of tilt angle read-out high angle tilt range for stereo work and habit plane determination simple, robust construction temperature control of better than ±0.5°C minimum thermal drift and transmission of vibration from the cooling system.

Behavioral Temperature Control

1981 ◽  
Vol 26 (8) ◽  
pp. 636-637
Author(s):  
James M. Lipton
Keyword(s):  
Temperature Control
Sign in / Sign up

Export Citation Format

Share Document