Results 61 to 70 of about 870 (181)

Practical Day‐Ahead Gas Generator Dispatch Optimisation for Enhancing the Reserved Capacity

IET Smart Energy Systems, EarlyView.
Practical day‐ahead gas generator dispatch optimisation model is proposed to enhance the system reserved capacity. ABSTRACT In order to reduce carbon dioxide emissions, traditional coal‐fired power generation has been strictly limited in China recently, which has led to the problem of reserved capacity shortage. As one of the critical east provinces of
Shengyuan Liu, Yicheng Jiang, Wei Gu, Wenduo Sun, Bin Feng, Gang Huang, Yunchu Wang   +6 more
wiley   +1 more source

GOVERNING THE CLOUD: Infrastructural Statecraft and the Political Ecology of Digital Expansion in Oregon

International Journal of Urban and Regional Research, EarlyView.
Abstract Oregon's wave of data center and semiconductor projects shows how cloud capitalism reorganizes resource systems and territorial governance. Examining Amazon, Google, and Intel, the article traces how fiscal incentives, utility programs, and land‐use instruments are recalibrated to secure hyperscale loads.
Justin Kollar
wiley   +1 more source

Multi‐period optimal bidding strategy with energy storage

International Transactions in Operational Research, Volume 33, Issue 6, Page 4142-4166, November 2026.
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

SMAA‐Based FITradeoff: An Efficient Framework for Pairwise Elicitation in Multicriteria Decision Analysis

Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.
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, Elia Balugani, Rita Gamberini, Francesco Lolli   +3 more
wiley   +1 more source

Power System Integration of Electric Vehicles: A Review on Impacts and Contributions to the Smart Grid

Applied Sciences
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, Özgür Çelik, Abderezak Lashab, Kamil Çağatay Bayındır, Juan C. Vasquez, Josep M. Guerrero   +5 more
doaj   +1 more source

Hydrogen to Power: Exploring Current Developments and Future Challenges

Natural Sciences, Volume 6, Issue 3, July 2026.
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, Muhammad Ahmad, Youssef Awda, M. Maaruf, Muaiz O. Ali, Khalid A. AlShumayri, Syed M. Rahman   +6 more
wiley   +1 more source

Empowering net zero energy grids: a comprehensive review of virtual power plants, challenges, applications, and blockchain integration

Discover Applied Sciences
Energy is the basic prerequisite of any industry, but global warming, climate change, and pollution are increasing due to digitization and industrialization.
Aakanksha Bedi, J. Ramprabhakar, R. Anand, V. P. Meena, Ibrahim A. Hameed   +4 more
doaj   +1 more source

Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

Engineering Reports, Volume 8, Issue 6, June 2026.
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley   +1 more source

Resilient Grid Architectures for High Renewable Penetration: Electrical Engineering Strategies for 2030 and Beyond

Technologies
The global shift toward decarbonized power systems is driving unprecedented penetration of variable renewable energy sources, especially wind and solar PV.
Hilmy Awad, Ehab H. E. Bayoumi
doaj   +1 more source

Energy Management and Smart Grids

Energies, 2013
The paper outlines energy management concepts and the smart grid evolution. The necessity of considering energy management as a crucial innovation in load supplying to permit a more powerful penetration of renewable energy usage at the building and city ...
Rosario Miceli
doaj   +1 more source