A survey on hyperparameters optimization algorithms of forecasting models in smart grid

R Khalid, N Javaid - Sustainable Cities and Society, 2020 - Elsevier
Forecasting in the smart grid (SG) plays a vital role in maintaining the balance between
demand and supply of electricity, efficient energy management, better planning of energy …

What is energy internet? Concepts, technologies, and future directions

HM Hussain, A Narayanan, PHJ Nardelli, Y Yang - Ieee Access, 2020 - ieeexplore.ieee.org
The climate change crisis, exacerbated by the global dependency of fossil fuels, has brought
significant challenges. In the medium to long term, extensive renewable-energy-based …

Nature-inspired metaheuristic ensemble model for forecasting energy consumption in residential buildings

DH Tran, DL Luong, JS Chou - Energy, 2020 - Elsevier
As the global economy expands, both residential and commercial buildings consume an
increasing proportion of the total energy that is used by buildings. Energy simulation and …

Impacts on environmental quality and required environmental regulation adjustments: A perspective of directed technical change driven by big data

J Yang, X Li, S Huang - Journal of Cleaner Production, 2020 - Elsevier
Big data applications, from its inception have experienced unprecedented changes in
technological revolution and development. The need of the hour is to use big data to break …

A qualitative study on the United States internet of energy: a step towards computational sustainability

N Sakib, E Hossain, SI Ahamed - IEEE Access, 2020 - ieeexplore.ieee.org
The burgeoning growth of Big Data not only matures and improves the data management
efficiency and useful information extraction techniques, but also motivates the computational …

Lean management framework for healthcare facilities integrating BIM, BEPS and big data analytics

G Demirdöğen, Z Işık, Y Arayici - Sustainability, 2020 - mdpi.com
An increase in the usage of information and communication technologies (ICT) and the
Internet of Things (IoT) in Facility Management (FM) induces a huge data stack. Even though …

Hierarchical temporal memory-based one-pass learning for real-time anomaly detection and simultaneous data prediction in smart grids

A Barua, D Muthirayan, PP Khargonekar… - … on Dependable and …, 2020 - ieeexplore.ieee.org
A neuro-cognitive inspired architecture based on the Hierarchical Temporal Memory (HTM)
is proposed for anomaly detection and simultaneous data prediction in real-time for smart …

Adaptive algorithm for optimal real‐time pricing in cognitive radio enabled smart grid network

D Das, DK Rout - ETRI Journal, 2020 - Wiley Online Library
Integration of multiple communication technologies in a smart grid (SG) enables employing
cognitive radio (CR) technology for improving reliability and security with low latency by …

Efficient allocation of harvested energy at the edge by building a tangible micro-grid—the texas case

N Kouvelas, RV Prasad - IEEE Transactions on Green …, 2020 - ieeexplore.ieee.org
The electricity grid, using Information and Communication Technology, is transformed into
Smart Grid (SG), which is highly efficient and responsive, promoting two-way energy and …

BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters

P Fergus, C Chalmers - arXiv preprint arXiv:2002.12899, 2020 - arxiv.org
Fuel poverty affects between 50 and 125 million households in Europe and is a significant
issue for both developed and developing countries globally. This means that fuel poor …