TY - JOUR
T1 - A Qualitative Study on the United States Internet of Energy
T2 - A Step Towards Computational Sustainability
AU - Sakib, Nazmus
AU - Hossain, Eklas
AU - Ahamed, Sheikh Iqbal
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/4/7
Y1 - 2020/4/7
N2 - 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 science researchers to come up with a new method or solution that can be repurposed for problems across the domain. Computational Sustainability joins this movement for a transferrable computational technique for sustainable development and a better future. Internet-of-energy (IoE) - leveraging IoT to smart grids associated with advanced analytics - is one of the prominent efforts in this regard. This paper presents a qualitative analysis on the elements of the energy and power management ecosystem in the United States. This qualitative study includes the Grid Overview of the United States; Weather and Climate and its impact on the entire energy generation and consumption dynamics; Peak Load Forecasting and its techniques and burgeoning challenges; Variable Renewable Energy, its reliability challenges and how we can take advantage of this variability; Commodity Prices and its criticality; Energy Disaggregation and its impact on consumption-awareness; and Generation Expansion and Decision Analysis. Besides, IoE integration, associated trade-offs, challenges, research opportunities and transferable computational techniques are addressed in this communication. Furthermore, schematics and quantitative analysis are presented in support of this study.
AB - 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 science researchers to come up with a new method or solution that can be repurposed for problems across the domain. Computational Sustainability joins this movement for a transferrable computational technique for sustainable development and a better future. Internet-of-energy (IoE) - leveraging IoT to smart grids associated with advanced analytics - is one of the prominent efforts in this regard. This paper presents a qualitative analysis on the elements of the energy and power management ecosystem in the United States. This qualitative study includes the Grid Overview of the United States; Weather and Climate and its impact on the entire energy generation and consumption dynamics; Peak Load Forecasting and its techniques and burgeoning challenges; Variable Renewable Energy, its reliability challenges and how we can take advantage of this variability; Commodity Prices and its criticality; Energy Disaggregation and its impact on consumption-awareness; and Generation Expansion and Decision Analysis. Besides, IoE integration, associated trade-offs, challenges, research opportunities and transferable computational techniques are addressed in this communication. Furthermore, schematics and quantitative analysis are presented in support of this study.
KW - big data
KW - Computational sustainability
KW - Internet of Energy
KW - Internet of Things
KW - smart grid
KW - transferable computational techniques
UR - http://www.scopus.com/inward/record.url?scp=85083997687&partnerID=8YFLogxK
UR - https://epublications.marquette.edu/comp_fac/38
U2 - 10.1109/ACCESS.2020.2986317
DO - 10.1109/ACCESS.2020.2986317
M3 - Article
VL - 8
SP - 69003
EP - 69037
JO - IEEE Access
JF - IEEE Access
M1 - 9058653
ER -