Results 171 to 180 of about 1,288 (228)

A Multi‐Stage Bidding Strategy for Integrated Energy Refueling Stations in Electricity and Ancillary Markets Under Time‐Unfolding Uncertainties of Demand and Prices

open access: yesIET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study proposes a multi‐stage stochastic bidding framework for integrated energy refueling stations (IERS) that co‐optimize electricity trading, ancillary‐service provision, battery dispatch, and on‐site hydrogen production/refueling under time‐evolving uncertainties in PV output, market prices, and EV/FCEV demand.
Ximu Liu   +8 more
wiley   +1 more source

Climate‐Driven Low‐Carbon Dispatch Strategy for Photovoltaic‐Storage‐Charging Microgrids

open access: yesIET Smart Grid, Volume 9, Issue 1, January/December 2026.
This paper proposes a climate‐driven low‐carbon dispatch strategy for photovoltaic‐storage‐charging microgrids to address the volatility of renewable resources and charging demands. By integrating deep learning models for precise climate‐sensitive forecasting with a dual‐objective optimisation framework, the strategy accounts for both battery ...
Wanyue Xuan, Dejie Zhao, Rijia Ding
wiley   +1 more source

News media coverage and the predictability of house prices

open access: yesReal Estate Economics, Volume 54, Issue 1, Page 6-68, January 2026.
Abstract This article introduces new housing‐media‐attention indices for the 50 U.S. states based on the Bloomberg Terminal News Trends (NT) function, which collects articles from various news and social media sources and identifies their content using artificial intelligence tools.
Oguzhan Cepni
wiley   +1 more source

Statistical Arbitrage in Cryptocurrency Markets [PDF]

open access: hybrid, 2019
Thomas Fischer   +2 more
openalex   +1 more source

Re‐examining investor sentiment and stock returns: A replication and extension of Baker and Wurgler (2006)

open access: yesEconomic Inquiry, Volume 64, Issue 1, Page 88-119, January 2026.
Abstract This study replicates and extends Baker and Wurgler's (2006) analysis on investor sentiment's impact on stock returns. We confirm their findings by demonstrating the significant cross‐sectional effect of sentiment in both their original sample (1963–2002) and a new sample (2002–2023).
Kaiwen Leong   +4 more
wiley   +1 more source

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