Recent Publications
Industrial Symbiosis in Eco-Industrial Parks – A Comprehensive Review of Resource Exchange, Environmental, and Economic Benefits
Under the dominant linear “take-make-dispose” paradigm, industrial operations have greatly boosted economic growth while also accelerating resource depletion, waste production, and environmental degradation. As a result, Industrial Symbiosis (IS) has become a viable approach to integrating Circular Economy (CE) concepts into Eco-Industrial Parks (EIPs). In order to assess IS’s economic and environmental performance, this comprehensive …
Real-Time Distributed Illuminance Measurement Systems for Large-Scale Lighting Evaluation – A Comprehensive Review
The current situation in large-scale lighting evaluation is shifting from intermittent lighting surveys measured by a lux-meter to a continually mapped and visualized lighting system which can sense, estimate, map and visualize the lighting in real-time. A survey of the relevant literature in the journals highlights research on sensing technologies, various distributed system architectures, spatial …
Comprehensive Review of AI-Based Energy Management Systems for Renewable Microgrids
Microgrids are viewed as a distributed power generation system, made up of renewable power resources such as PV, wind, battery storage, shiftable loads, etc., to make a system more sustainable and resilient. But owing to the bi-directional intrinsic properties of renewable energy sources and their intermittent flow, and the randomness of renewable energy demand, energy …
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A Quantitative Study on the Impact of the Use of ChatGPT and Google Gemini on the Academic Performance of IT Undergraduates at NIIBS Campus
The introduction of generative Artificial Intelligence (AI) in education systems has changed the dynamics of the academic processes, particularly for technology-based courses. In this case, an exploratory study of the effects of the use of LLM tools (i.e., OpenAI’s ChatGPT and Google Gemini) on the academic performance of Information Technology (IT) undergraduates at the Faculty …
Multi-Agent Systems for Fault Detection in Transformers
Transformers, which transfer electrical power between voltage levels, are very important electrical power system components whose unforeseen breakdowns may lead to huge losses in finances and extensive power cuts. Thus, fault detection and diagnosis require good performance to provide reliability, operational safety, and service life of the transformers. Multi-Agent Systems (MAS) have become a potential …
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