[HTML][HTML] Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management

J Li, MS Herdem, J Nathwani, JZ Wen - Energy and AI, 2023 - Elsevier
Abstract Information technologies involving artificial Intelligence, big data, Internet of Things
devices and blockchain have been developed and implemented in many engineering fields …

Optimization approaches in district heating and cooling thermal network

M Sameti, F Haghighat - Energy and Buildings, 2017 - Elsevier
Modelling, simulation and optimization of an isolated building separated from the district in
which they operate is no longer of interest as a view point of improved efficiency, economic …

Recent advances, challenges, and prospects in solar dish collectors: Designs, applications, and optimization frameworks

H Allouhi, A Allouhi, MS Buker, S Zafar… - Solar Energy Materials and …, 2022 - Elsevier
The use of solar powered dish-Stirling engines to convert thermal energy into electricity is a
promising and renewable alternative in reducing the fossil fuel consumption. However …

Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation

M Sameti, F Haghighat - Energy, 2018 - Elsevier
A net-zero energy district is any neighborhood where the consumption of the buildings is
offset by on-building generation on an annual basis. In this study, a net-zero energy district …

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis …

S Ghimire, RC Deo, NJ Downs, N Raj - Remote Sensing of Environment, 2018 - Elsevier
Designing predictive models of global solar radiation can be an effective renewable energy
feasibility studies approach to resolve future problems associated with the supply, reliability …

Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power

M Sameti, F Haghighat - Renewable Energy, 2019 - Elsevier
This study applies a mathematical programming procedure to model the optimal design and
planning of a new district which satisfies two features of the 4th generation district heating …

Thermodynamic evaluation and multi-objective optimization of molten carbonate fuel cell-supercritical CO2 Brayton cycle hybrid system

MA Jokar, MH Ahmadi, M Sharifpur, JP Meyer… - Energy Conversion and …, 2017 - Elsevier
Fuel cell-heat engine hybrid system is a relatively new discipline which proposes to utilize
the excess high-temperature heat of the fuel cell as the heat source for the heat engine. This …

Design and optimization of Stirling engines using soft computing methods: A review

S Zare, AR Tavakolpour-Saleh, A Aghahosseini… - Applied Energy, 2021 - Elsevier
The need for energy converters with high thermal efficiency is a central issue in the field of
renewable energies. So far, different technologies have been introduced for converting …

Multi-objective optimization of a CSP-based dish Stirling field layout using Genetic Algorithm and TOPSIS method: Case studies in Ouarzazate and Madrid

H Allouhi, A Allouhi, A Jamil - Energy Conversion and Management, 2022 - Elsevier
CSP systems have experienced significant growth with great ability to supply clean and eco-
friendly electrical power. In this paper, multi-objective optimization is carried out to design …

An anomaly-based approach for DDoS attack detection in cloud environment

A Rawashdeh, M Alkasassbeh… - … Journal of Computer …, 2018 - inderscienceonline.com
Cloud computing is currently a major focal point for researchers owing to its widespread
application and benefits. Cloud computing's complete reliance on the internet for service …