Results 111 to 120 of about 28,951 (246)
Stochastic Optimal Strategies and Management of Electric Vehicles and Microgrids
This study combines the Nash–Cournot competition model and the stochastic optimization model to examine the impact of electric vehicle (EV) quantity fluctuations on microgrid operations, aiming to optimize energy usage in a competitive electricity ...
Su-Ying Lu +3 more
core +1 more source
Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box
Abstract Visualization researchers utilize workshops both for applied research and to engage different populations with visualization‐based activities. While there are many benefits to running visualization workshops, their utility and impact rely on the presence of a researcher who has deep knowledge about visualization theory and practice.
D. Akbaba +4 more
wiley +1 more source
Global Analysis of Electric Vehicle Charging Infrastructure and Sustainable Energy Sources Solutions
Recently, the rapid increase in the adoption of electric vehicles (EVs) has been driven by considerable technological advancements and a growing focus on environmental sustainability.
Sihem Nasri +5 more
doaj +1 more source
Non-linear model predictive energy management strategies for stand-alone DC microgrids
Due to substantial generation and demand fluctuations in stand-alone green micro-grids, energy management strategies (EMSs) are becoming essential for the power sharing purpose and regulating the microgrids voltage.
Moradinegade Dizqah, Arash
core
Philippine off-grid islands are mostly electrified by diesel generators, resulting in costly electricity that is interrupted by fuel supply disruptions. The archipelagic nature of the country also impedes off-grid electrification due to the high capital ...
Michael T. Castro +5 more
core +1 more source
Multi‐period optimal bidding strategy with energy storage
Abstract We consider a setting where a wind power producer (WPP) bids in a multi‐period ahead electricity market. The new elements we take into account are (i) the integration of electricity storage devices, (ii) the extension from single‐period to multi‐period optimal bidding, (iii) the implementation of a short‐sighted strategy versus a far‐sighted ...
Azin Khaleghi, Wouter Baar, Dario Bauso
wiley +1 more source
ABSTRACT The Flexible and Interactive Tradeoff Elicitation (FITradeoff) method is a Multi‐Attribute Decision‐Making (MADM) approach designed to capture the preferences of a Decision Maker (DM) while minimising cognitive effort. To reduce the frequency of interactions and optimise the preference elicitation process, this paper introduces an innovative ...
Qian Zhao +3 more
wiley +1 more source
In recent years, electric vehicles (EVs) have become increasingly popular, bringing about fundamental shifts in transportation to reduce greenhouse effects and accelerate progress toward decarbonization.
Mustafa İnci +5 more
doaj +1 more source
Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning
This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai +7 more
wiley +1 more source
Hydrogen to Power: Exploring Current Developments and Future Challenges
As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source

