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Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Deep learning for edge computing applications: A state-of-the-art survey
With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …
such as 5G, our future world is envisioned as an interconnected entity where billions of …
Large-scale simulation-based parametric analysis of an optimal precooling strategy for demand flexibility in a commercial office building
Grid-interactive efficient buildings (GEBs) optimize their operations by using flexible load
techniques, such as precooling, to reduce peak electricity demand. However, precooling …
techniques, such as precooling, to reduce peak electricity demand. However, precooling …
An IoT-based data driven precooling solution for electricity cost savings in commercial buildings
A Vishwanath, V Chandan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The buildings sector is one of the largest energy consuming entities today, accounting for
about 40% of global energy consumption. Alongside, electricity prices are increasing in …
about 40% of global energy consumption. Alongside, electricity prices are increasing in …
Data driven chiller sequencing for reducing HVAC electricity consumption in commercial buildings
It is well-known that the HVAC (heating, ventilation and air conditioning) dominates
electricity consumption in commercial buildings. Alongside, electricity prices are increasing …
electricity consumption in commercial buildings. Alongside, electricity prices are increasing …
A guide for the design of benchmark environments for building energy optimization
The need for algorithms that optimize building energy consumption is usually motivated with
the high energy consumption of buildings on a global scale. However, the current practice …
the high energy consumption of buildings on a global scale. However, the current practice …
Implementation and validation of optimal start control strategy for air conditioners and heat pumps
W Kim, MG Yu, RG Lutes, S Katipamula - Applied Thermal Engineering, 2024 - Elsevier
Commercial buildings are responsible for approximately 20% of the total energy
consumption and greenhouse gas emissions in the United States. Over 85% of these …
consumption and greenhouse gas emissions in the United States. Over 85% of these …
Forecasting gas usage for big buildings using generalized additive models and deep learning
Time series behavior of gas consumption is highly irregular, non-stationary, and volatile due
to its dependency on the weather, users' habits and lifestyle. This complicates the modeling …
to its dependency on the weather, users' habits and lifestyle. This complicates the modeling …
An edge based data-driven chiller sequencing framework for HVAC electricity consumption reduction in commercial buildings
It is well-known that the HVAC (heating, ventilation, and air conditioning) dominates
electricity consumption in commercial buildings. In this paper, we focus on one of the core …
electricity consumption in commercial buildings. In this paper, we focus on one of the core …
Demand-side improvement of short-term load forecasting using a proactive load management–a supermarket use case
M Glavan, D Gradišar, S Moscariello, Đ Juričić… - Energy and …, 2019 - Elsevier
The future electricity grid will highly depend on cooperation between the supply-and
demand-side. One possibility for cooperation is to involve demand-side end-users in a day …
demand-side. One possibility for cooperation is to involve demand-side end-users in a day …