Topical Collection on "Big data analytics for energy, water, and environment"
Deadline for manuscript submissions: 15 October 2024
Collection Editors
COMSATS University Islamabad, Pakistan.
Email: farhan@ciitsahiwal.edu.pk, farhanmuhammad.dr@gmail.com
Future Technology Research Center; National Yunlin University of Science and Technology, Taiwan.
Email: khalid@yuntech.edu.tw
Northwestern Polytechnical University, China.
Email: farhan@nwpu.edu.cn, farhankhan.cs@yahoo.com
Topical Collection Information
The environment we live in today is facing numerous challenges through natural disasters, climatic changes, diseases, pandemics, and pollution. These global issues have been focused on for the past few decades aiming to control and reduce them from exaggerating to any further threat to the environment. As we move towards a digital era, we are witnessing various technologies developing to help save the environment, energy, and water we depend on for survival today. Among these technologies, big data analytics plays a substantial role in providing practical solutions to prevent and conserve these three main life segments. In recent years, the deterioration of energy resources and water scarcity has stressed environmentalists to continuously monitor the leftover resources and the missing correlations to identify the place we lag. Big data analytics are advancing with predictive modelling technologies, network sensors, and visual data techniques to analyze and predict future disruptions enabling environmentalists to be prepared. Network sensors integrated with big data allow the collection of data for air pollution, quality levels, thresholds of pollution, climate change patterns, and other parameters for governments to take necessary steps to improve the environment's sustainability.
Big data also plays a vital role in conserving birds and animals, forests, and marine life by monitoring disruptions through continuous tracking and analysis. BDA is creating constructive predictive modelling for hydroelectric, solar, and wind power generation, reducing fossil fuels and other resources that causes GHC and carbon emissions. BDA greatly influences energy utilities by analyzing data from smart meters thereby optimizes energy resources. Moreover, they can predict energy failures and redundancies, enabling businesses to make actionable decisions for energy conservation. Forecasting energy demands, carbon emissions, and climate change patterns are facilitated through big data analytics. Another major problem today is the issues related to availability of water. To ensure water is smartly streamlined to consumers, we will need big data analytics to monitor water consumption, detect leakages, wastage of water, and water utilities. The intelligent metering systems of BDA can capture the data for water flow by collecting data from remote sources like pumping stations, water storage facilities, and industrial water bases. However, BDA possesses various challenges like data storage issues, scalability of environmental data, the complexity of voluminous data from energy and water management sectors, and adoption of these technologies. For the future, we will need advanced technologies to analyze and store these environmental insights and data to provide sustainable solutions to conserve the limited energy sources. This special issue elucidates the advancements of big data analytics to conserve the environment, energy, and water for future generations. We expect more submissions from scholars from this platform with innovative insights.
The topic of interest includes but is not limited to the following:
- Role of big data analytics for water scarcity management
- Emerging trends of big data for renewable energy optimization
- Critical sensor networks of big data for monitoring environmental disruptions
- Influence on big data analytics on environmental and energy management decisions
- Role of Big data analytics for sustainable distribution of energies
- Implications of big data analytics for future of energy and utilities
- Sustainable development of environment with big data and analytics
- Big data analytics for wildlife, bird, and forest conservation
- Role of big data analytics to prevent the extinction of endangered species
- Smart meters powered by big data analytics for controlling power storage and re-distribution