Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network

Z Zou, X Yu, S Ergan - Building and Environment, 2020 - Elsevier
Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to
minimize the energy consumption of equipment while maintaining the thermal comfort of …

A data-driven approach to extract operational signatures of HVAC systems and analyze impact on electricity consumption

X Yu, S Ergan, G Dedemen - Applied Energy, 2019 - Elsevier
The electricity consumption of Heating Ventilating and Air Conditioning (HVAC) systems has
a significant share in the energy consumption of buildings, which account for 75% of total …

How far back shall we peer? Optimal air handling unit control leveraging extensive past observations

R Li, Z Zou - Building and Environment, 2024 - Elsevier
Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems play a critical role in
ensuring occupant comfort in buildings. Traditional Rule-Based Feedback Control (RBFC) …

Enhanced directed random walk for the identification of breast cancer prognostic markers from multiclass expression data

HW Nies, MS Mohamad, Z Zakaria, WH Chan… - Entropy, 2021 - mdpi.com
Artificial intelligence in healthcare can potentially identify the probability of contracting a
particular disease more accurately. There are five common molecular subtypes of breast …

Integrated optimization of energy systems in buildings: from demand responsive battery storage to intelligent HVAC control

R Li - 2024 - open.library.ubc.ca
This thesis introduces an integrated approach aimed at boosting energy efficiency and
advancing sustainability in buildings via innovative Demand Response (DR) programs and …

[PDF][PDF] SEF-USIEF FEATURE SELECTOR: AN APPROACH TO SELECT EFFECTIVE FEATURES AND UNSELECT INEFFECTIVE FEATURES.

S Sivakumar, S Venkataraman… - ICTACT Journal on Soft …, 2023 - ictactjournals.in
Feature selection is a method in Data mining to reduce the features from the original dataset
by removing the noisy features from the dataset to improve the performance of the classifiers …

Computed Tomography Liver Tumor Image Classification Using Hybrid Feature Extraction and Classification Techniques

PVB Reddy, MP Arakeri - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Accurate diagnosis of liver tumor is important task for the physician. The purpose of this
research work is to investigate the utility of feature extraction and classification techniques in …

[PDF][PDF] Identification of pathway and gene markers using enhanced directed random walk for multiclass cancer expression data

NHUI WEN - 2020 - eprints.utm.my
Cancer markers play a significant role in the diagnosis of the origin of cancers and in the
detection of cancers from initial treatments. This is a challenging task owing to the …