Resilience and reliable integration of PV-wind and hydropower based 100% hybrid renewable energy system without any energy storage system for inaccessible area …
Achieving sustainable development goals requires off-grid electrification of remote areas
using sustainable energy systems (SES). However, capacity planning for SES is challenging …
using sustainable energy systems (SES). However, capacity planning for SES is challenging …
Renewable energy incentives on the road to sustainable development during climate change: A review
N Tryndina, J An, I Varyash, O Litvishko… - Frontiers in …, 2022 - frontiersin.org
This review is dedicated to the analytical literature concerning the dynamics of different
approaches to renewable energy promotion. Examples of major types of green energy …
approaches to renewable energy promotion. Examples of major types of green energy …
SAARC super smart grid: Navigating the future-unleashing the power of an energy-efficient integration of renewable energy resources in the saarc region
The major problems in the power system network of the South Asian Association for
Regional Cooperation (SAARC) region include the utilization of substantial fossil fuels …
Regional Cooperation (SAARC) region include the utilization of substantial fossil fuels …
A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data …
X Zheng, S Zhou, T Jin - Energy, 2023 - Elsevier
Faced with the growing renewable energy requirements, there is increased interest in cross-
region of large-scale renewable energy market, which provides an alternative path for …
region of large-scale renewable energy market, which provides an alternative path for …
Design optimization integrating energy, economic, and environmental evaluation of a hybrid solar heating system for detached buildings in rural China
G Wang, G Feng, X Li, H Li, T Wang - Journal of Building Engineering, 2023 - Elsevier
This study investigated the techno-economic-environmental feasibility of solar heating
systems for supplying power to detached buildings in the rural context. A hybrid solar …
systems for supplying power to detached buildings in the rural context. A hybrid solar …
Optimal Grid Flexibility Assessment for Integration of Variable Renewable-Based Electricity Generation
This study delves into power system flexibility, with a keen focus on the integration of
variable renewable electricity generation into power grids. Two scenarios were analyzed …
variable renewable electricity generation into power grids. Two scenarios were analyzed …
Techno-economic configuration of an optimized resident microgrid: A case study for Afghanistan
Q Tayyab, NA Qani, MH Elkholy, S Ahmed, A Yona… - Renewable Energy, 2024 - Elsevier
The escalating demand for electricity and the imperative to reconstruct underprivileged
areas in Afghanistan necessitates a resilient energy supply system. This study advocates for …
areas in Afghanistan necessitates a resilient energy supply system. This study advocates for …
Dynamic customer demand management: A reinforcement learning model based on real-time pricing and incentives
EJ Salazar, ME Samper, HD Patiño - Renewable Energy Focus, 2023 - Elsevier
The demand response model proposed in this work offers a game-changing solution to the
challenges posed by the unpredictability of renewable energy sources. By combining both …
challenges posed by the unpredictability of renewable energy sources. By combining both …
Demand response approach for coordinated scheduling of EV charging in a micro-grid
A Abd El-Raouf, MM Elkholy, MA Farahat… - Electric Power …, 2024 - Taylor & Francis
Compared to traditional fuel vehicles, electric vehicles (EVs) can use energy efficiently
without polluting the environment, which is why environmental experts are pushing the …
without polluting the environment, which is why environmental experts are pushing the …
Demand response model: A cooperative-competitive multi-agent reinforcement learning approach
EJ Salazar, V Rosero, J Gabrielski… - Engineering Applications of …, 2024 - Elsevier
This study introduces a novel Demand Response (DR) Model based on Multi-agent
Reinforcement Learning (MARL-DR), comprised of a pricing and incentives scheme aimed …
Reinforcement Learning (MARL-DR), comprised of a pricing and incentives scheme aimed …