Big Data Analysis Application and Energy Market Planning from a Sustainable Social Development Perspective

Dear Colleagues,

The global demand for energy has been increasing due to population growth and economics, especially in emerging market economies. The vast majority of the worldwide demand for energy is being unsustainably met with fossil fuels. Fossil fuels release carbon dioxide and other greenhouse gases, which are the primary contributors to global warming and climate change.

A smart energy platform, including microgrids, smart grids, and smart cities, has recently received considerable attention in response to climate change and the ever-increasing demand for energy. It can reduce greenhouse gases through renewable energies (i.e., solar, wind, etc.), energy storage systems (ESSs), combined cooling, heating, and power (CCHP), and so on. It can also optimize the production and consumption of energy resources based on the Internet of Things (IoT) and advanced metering infrastructure (AMI) sensor-based data analysis. Herein, big data analysis and artificial intelligence (AI) technologies could assist in practical sensor-based data analysis in the smart energy platform. In addition, by extending these technologies, the smart energy platform can establish optimal energy strategies and plans to benefit consumer and consumer, consumer and producer, and producer and producer.

This Special Issue solicits original research and survey papers that address diverse smart energy platform technologies based on big data and AI techniques, as follows:

• Big Data Analysis
• Cyber security technology for smart energy platform management;
• Designing a relational database for regional distributed energy resource analysis;
• Web-crawler-based automatic collection of big relational data for regional distributed energy resource analysis;
• Building a distributed stream processing platform for IoT sensor-based data collection and real-time data preprocessing;
• The spatial and temporal characterization of energy consumption based on energy platform big data analysis and preprocessing.
• Artificial Intelligence Applications
• Robust electric load forecasting model based on state-of-the-art technologies;
• AI-based sustainable energy (i.e., solar irradiance and wind speed) forecasting for forecaster support solutions;
• Improving energy forecasting accuracy due to a lack of energy data in the early stage of the smart energy platform;
• Data cleansing and imbalance data processing technology for AMI sensor-based data;
• Outlier detection and missing value imputation technology for AMI sensor-based data;
• Clustering methods for similar energy consumption pattern analysis by customer types.
• Energy Strategy and Planning
• The real-time monitoring and visualization of energy production and consumption within the smart energy platform;
• Electric energy distribution, forecasting, and service technologies considering ESS-linked renewable energy;
• Probabilistic forecasting of renewable energy or combined cooling, heating, and power (CCHP) generation and their economic analysis;
• Distributed controllable electricity transaction matching considering time of usage (TOU), critical peak pricing (CPP), and so on;
• Consulting services for resource consumption reduction by linking each resource platform such as gas and water;
• Surplus electricity trading via linkage between prosumer-oriented peer-to-peer (P2P) electricity trading platforms.

From the perspective of big data analysis and artificial intelligence technology, we also welcome research on the energy industry's impact due to COVID-19 and metaverse, which have recently been attracting attention.

Dr. Jihoon Moon
Prof. Dr. Yongsung Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• smart energy platform
• microgrid
• smart grid
• smart city
• big data analysis
• cyber security
• relational database
• web crawler
• artificial intelligence
• energy forecasting
• data stortage problem
• cold-start problem
• data cleansing
• imbalance data processing
• outlier detection
• missing value imputation
• pattern analysis
• real-time monitoring
• data visualization
• energy service
• economic analysis
• electricity transaction matching
• energy consulting services
• prosumer-oriented peer-to-peer