Abstract
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.
Highlights
Computational Sustainability, a massively interdisciplinary field of study, lies in the intersection of the multiple domains, such as applied mathematics, statistics, computer and information science, electrical and electronic engineering, economics, environmental science, operational research, and policymaking [1], [2]
The rise of Big Data and advanced analytics have contributed to the recent surge in this effort [10], [11]
CompSustNet, a unique virtual network led by Carla Gomez at Cornell University and supported by the National Science Foundation (NSF) of the United States, establishes on the research, results, and achievements of the ICS (Institute of Computational Sustainability) [1], [2], [18]
Summary
Computational Sustainability, a massively interdisciplinary field of study, lies in the intersection of the multiple domains, such as applied mathematics, statistics, computer and information science, electrical and electronic engineering, economics, environmental science, operational research, and policymaking [1], [2]. CompSustNet, a unique virtual network led by Carla Gomez at Cornell University and supported by the National Science Foundation (NSF) of the United States, establishes on the research, results, and achievements of the ICS (Institute of Computational Sustainability) [1], [2], [18] It unites and helps more and more scholars, across the domain, use data mining techniques to solve the most complex and pressing problems of this time, such as efficient and reliable energy management [19], [20], healthcare [21]–[23], biodiversity loss protection, addressing issues regarding climate change and environmental collapse [24], [25], poverty eradication [26], [27], meteorology [28]–[30], disaster management [31], [32], and material discovery for renewables sources [33]–[36].
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