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A bibliometric review on the application of fuzzy optimization to sustainable energy technologies
Sustainable energy production has been one of the contemporary concerns of society. In
order to mitigate carbon dioxide emissions while generating the required demand for …
order to mitigate carbon dioxide emissions while generating the required demand for …
A fair pricing mechanism in smart grids for low energy consumption users
Based on energy demand, consumers can be broadly categorized into low energy
consumers (LECs) and high energy consumers (HECs). HECs use heavy load appliances …
consumers (LECs) and high energy consumers (HECs). HECs use heavy load appliances …
Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
W Niu, Z Feng, B Feng, Y Xu, Y Min - Sustainable Cities and Society, 2021 - Elsevier
Accurate future runoff prediction information is of great importance for the planning and
management of both water resource and electric power systems. As employed to address …
management of both water resource and electric power systems. As employed to address …
Customer behaviour towards energy usage with time of use tariff: a systematic literature review
This paper reviews the customer behaviour in energy usage under Time of Use (ToU)
pricing scheme using systematic literature review method. This paper is used to reveal …
pricing scheme using systematic literature review method. This paper is used to reveal …
A real-time automated scheduling algorithm with PV integration for smart home prosumers
This paper proposes an IoT-based automated home energy management system (HEMS)
focusing on cloud computing infrastructure for real-time demand response (DR). The …
focusing on cloud computing infrastructure for real-time demand response (DR). The …
A novel stochastic framework based on PEM-DPSO for optimal operation of microgrids with demand response
This article assesses the optimal operation and management of the microgrids considering
the dispatchable units, demand response (DR) and uncertainty effects. A new formulation is …
the dispatchable units, demand response (DR) and uncertainty effects. A new formulation is …
A road pricing model involving social costs and infrastructure financing policies
This research develops a non-linear continuous optimisation model to estimate tolls for multi-
class and multi-period traffic considering integral social costs such as congestion …
class and multi-period traffic considering integral social costs such as congestion …
Underwater target electric field location algorithm based on electric dipole
L Ci, W Xue, J Dang, P Jia, Y Xu… - 2022 IEEE Asia-Pacific …, 2022 - ieeexplore.ieee.org
In the field of underwater complex situation location, electric field location technology has
important research significance. This technique needs to establish the forward model of …
important research significance. This technique needs to establish the forward model of …
A novel construction and inference methodology of belief rule base
Q Hu, C Li, Y Lu, S Li - IEEE Access, 2020 - ieeexplore.ieee.org
The belief rule base model performs well in continuous systems but not in piecewise
systems, and it suffers from a combinatorial explosion when there are a large number of …
systems, and it suffers from a combinatorial explosion when there are a large number of …
[HTML][HTML] Intelligent dynamic pricing scheme for demand response in Brazil considering the integration of renewable energy sources
DB Vilar, CM Affonso - Energies, 2021 - mdpi.com
This paper proposes a novel dynamic pricing scheme for demand response with
individualized tariffs by consumption profile, aiming to benefit both customers and utility. The …
individualized tariffs by consumption profile, aiming to benefit both customers and utility. The …