[HTML][HTML] Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management

M Oberascher, W Rauch, R Sitzenfrei - Sustainable Cities and Society, 2022 - Elsevier
Smart cities are an innovate concept for managing urban cities to enhance sustainability and
increase quality of life for citizens. Although urban water infrastructure (UWI) performs …

Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability

CX Hui, G Dan, S Alamri, D Toghraie - Sustainable Cities and Society, 2023 - Elsevier
The integration of urban natural resources and smart city technologies as a means to
promote sustainability is investigated in this study using a descriptive-analytical literature …

[HTML][HTML] An OCF-IoTivity enabled smart-home optimal indoor environment control system for energy and comfort optimization

AN Khan, A Rizwan, R Ahmad, DH Kim - Internet of Things, 2023 - Elsevier
The growing energy demand with diminishing energy resources calls for development of
optimal indoor control system through accurate energy and occupant comfort modeling in a …

Cost/comfort-oriented optimization algorithm for operation scheduling of electric water heaters under dynamic pricing

V Kapsalis, G Safouri, L Hadellis - Journal of cleaner production, 2018 - Elsevier
This paper presents a heuristic algorithm, which schedules the operation of electric water
heaters (EWHs) under dynamic electricity pricing. The algorithm takes into account cost and …

Komparasi akurasi global posistion system (gps) receiver u-blox neo-6m dan u-blox neo-m8n pada navigasi quadcopter

I Ismail - Elektron: Jurnal Ilmiah, 2020 - jie.pnp.ac.id
Pengembangan UAV quadcopter terjadi sangat pesat salah satu yang paling vital adalah
sistim navigasinya baik hardware maupun software atau algoritma yang digunakan …

Optimal control based on scheduling for comfortable smart home environment

S Malik, KT Lee, DH Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Smart home environments account to a major portion of the total energy consumption in
today's world. The residents of smart home environments wish to find solutions that reduce …

Demand–response control of electric storage water heaters based on dynamic electricity pricing and comfort optimization

ÁÁ Pardiñas, P Durán Gómez, F Echevarría Camarero… - Energies, 2023 - mdpi.com
Electric Storage Water Heaters (ESWH) are a widespread solution to supply domestic hot
water (DHW) to dwellings and other applications. The working principle of these units makes …

Machine learning for smart and energy-efficient buildings

HP Das, YW Lin, U Agwan, L Spangher… - Environmental Data …, 2024 - cambridge.org
Energy consumption in buildings, both residential and commercial, accounts for
approximately 40% of all energy usage in the United States, and similar numbers are being …

An inverse-problem approach to simulating smart control of domestic electric hot water cylinders using electricity demand time-series data.

A Razaq, MW Jack - Energy and Buildings, 2023 - Elsevier
Smart control of domestic electric hot water cylinders could be used as a relatively
inexpensive option to help bridge supply–demand mismatches in highly-renewable …

Distributed reinforcement learning with ADMM-RL

P Graf, J Annoni, C Bay, D Biagioni… - 2019 American …, 2019 - ieeexplore.ieee.org
This paper presents a new algorithm for distributed Reinforcement Learning (RL). RL is an
artificial intelligence (AI) control strategy such that controls for highly nonlinear systems over …