Results 171 to 180 of about 399,469 (371)

ANALYSIS OF MIXED INTEGER PROGRAMMING FORMULATIONS FOR SINGLE MACHINE SCHEDULING PROBLEMS WITH SEQUENCE DEPENDENT SETUP TIMES AND RELEASE DATES [PDF]

open access: diamond, 2019
Thiago Henrique Nogueira   +3 more
openalex   +1 more source

Rhythms in longitudinal thalamic recordings are linked to seizure risk

open access: yesEpilepsia, EarlyView.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang   +5 more
wiley   +1 more source

A Multi-objective Mixed-integer Programming Approach for Supply Chain Disruption Response with Lead-Time Awareness [PDF]

open access: green, 2023
Juan-Alberto Estrada-Garcia   +4 more
openalex   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

open access: yesEnergy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga   +6 more
wiley   +1 more source

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

open access: yesEnergy Science &Engineering, EarlyView.
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen   +5 more
wiley   +1 more source

Smart Charging With Hourly Pricing as Policy Intervention: Reducing Costs and Grid Congestion for Promoting Electric Vehicles in Developing Countries

open access: yesEnergy Science &Engineering, EarlyView.
Smart charging with hourly pricing optimizes electric vehicle (EV) charging in developing countries, reducing EV owner costs by 30% and easing grid congestion. Using an agent‐based energy management system, the study shows dynamic pricing effectively shifts charging to off‐peak hours, enhancing grid stability and supporting sustainable EV adoption in ...
Maha Iftikhar   +8 more
wiley   +1 more source

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