Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications

M Papadimitrakis, N Giamarelos, M Stogiannos… - … and Sustainable Energy …, 2021 - Elsevier
A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

A review on optimization strategies integrating renewable energy sources focusing uncertainty factor–Paving path to eco-friendly smart cities

D Mahmood, N Javaid, G Ahmed, S Khan… - … : Informatics and Systems, 2021 - Elsevier
Renewable and sustainable energy with advancement in information and communication
technologies bear huge expectations in power sector. Whereas, switching from traditional to …

Edge computing for iot-enabled smart grid: The future of energy

QN Minh, VH Nguyen, VK Quy, LA Ngoc, A Chehri… - Energies, 2022 - mdpi.com
The explosive development of electrical engineering in the early 19th century marked the
birth of the 2nd industrial revolution, with the use of electrical energy in place of steam …

[HTML][HTML] A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique

A Alsirhani, MM Alshahrani, A Abukwaik… - Alexandria Engineering …, 2023 - Elsevier
Evaluating and forecasting stability across different conditions is essential since smart grid
stabilization is among the most significant characteristics that could be employed to assess …

Blockchain based data and energy trading in internet of electric vehicles

A Sadiq, MU Javed, R Khalid, A Almogren… - Ieee …, 2020 - ieeexplore.ieee.org
The drastic increase in real-time vehicle generated data of various types has imparted a
great concept of data trading in vehicular networks. Whereas immense usage of Electric …

Multi-criteria method for the selection of renewable energy sources in the polish industrial sector

R Ulewicz, D Siwiec, A Pacana, M Tutak, J Brodny - Energies, 2021 - mdpi.com
Rational decision-making requires assessing the advantages and disadvantages of options,
including nonmarket effects (such as environmental effects). This also applies to strategic …

Demand response program for efficient demand-side management in smart grid considering renewable energy sources

S Ali, AU Rehman, Z Wadud, I Khan, S Murawwat… - IEEE …, 2022 - ieeexplore.ieee.org
A smart energy management controller can improve energy efficiency, save energy costs,
and reduce carbon emissions and energy consumption while accurately catering to …

Dynamic pricing and energy management of hydrogen-based integrated energy service provider considering integrated demand response with a bi-level approach

Q Wu, C Li - Journal of Energy Storage, 2023 - Elsevier
Integrated energy system with a large-scale integration of renewable energy has witnessed
an enormous growth recently. Besides, traditional electric demand response has gradually …

[HTML][HTML] A novel dynamic pricing model for a microgrid of prosumers with photovoltaic systems

V Boiarkin, M Rajarajan, J Al-Zaili, W Asif - Applied Energy, 2023 - Elsevier
Due to the growing demand for electricity and the increasing number of consumers who can
produce energy (prosumers) using photovoltaic systems today, energy generated by …

Deep neural networks for multivariate prediction of photovoltaic power time series

F Succetti, A Rosato, R Araneo, M Panella - IEEE Access, 2020 - ieeexplore.ieee.org
The large-scale penetration of renewable energy sources is forcing the transition towards
the future electricity networks modeled on the smart grid paradigm, where energy clusters …