The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to embrace the idea of Industry 4.0. Some industrial companies already have different sensors installed on their machines; however, without proper analysis, the data collected is not useful. This systematic review’s main goal is to synthesize the existing evidence on the application of predictive maintenance (PdM) with visual aids and to identify the key knowledge gaps in areas including utilities, power generation, industry, and energy consumption. After a thorough search and evaluation for relevancy, 37 documents were identified. Moreover, we identified the visual analytics of PdM, including anomaly detection, planning/scheduling, exploratory data analysis (EDA), and explainable artificial intelligence (XAI). The findings revealed that anomaly detection was a major domain in PdM-related works. We conclude that most of the literature lacks depth in terms of an overall framework that combines data-driven and knowledge-driven techniques of PdM in the manufacturing industry. Some works that utilized both techniques indicated promising results, but there is insufficient research on involving maintenance personnel’s feedback in the latter stage of PdM architecture. Thus, there are still pertinent issues that need to be investigated, and limitations that need to be overcome before PdM is deployed with minimal human involvement.

Standalone energy supply system has been in the limelight, especially in rural areas since it can provide cheap electrical supply to the local communities. Energy supply is always a problematic condition in many developing countries that significantly affects progress and inclusive economic development. Furthermore, excess energy generated is wasted due to insufficient battery storage. To confront these recurring problems, peer-to-peer energy resource sharing has emerged as a promising solution, offering a decentralized system and approach to reduce reliance on the grid energy resource. The system enables prosumers to share excess energy with consumers, reducing dependence on grid and lowering the cost of electricity. However, peer-to-peer energy resource sharing is still a relatively new technology in developing countries, especially in rural communities, needing enabling technologies, support, and sustainable policies and financing models. To this end, this study aims to provide comprehensive understanding of the state of the art of peer-to-peer energy resource sharing in rural communities.