Results 221 to 230 of about 20,157 (304)

A mixed-integer linear programming approach for optimising residential energy management with multiple sustainable energy resources

Pedro M.E. Pinto, Gerardo J. Osório, Mohammad S. Javadi, João P.S. Catalão   +3 more
openalex   +1 more source

Bi‐Level Coordination of Demand Response and Multiple Virtual Power Plants in a Distribution Network for Flexibility Assessment

Energy Science &Engineering, EarlyView.
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare, Mohammad Agha Shafiyi, Mehrdad Setayesh Nazar, Miadreza Shafie‐khah, Pierluigi Siano   +4 more
wiley   +1 more source

OPTIMASI JARINGAN DISTRIBUSI MULTI ESELON DALAM RANTAI PASOK MULTI PRODUK MENGGUNAKAN MIXED INTEGER LINEAR PROGRAMMING

Amelia Khoidir, Baiq Firyal Salsabila Safitri, Dewi Rahmasari   +2 more
openalex   +2 more sources

Analysis of Energy Consumption, Economic Efficiency and Carbon Emissions of Ice Slurry Direct Supply System: A Case Study of China

Energy Science &Engineering, EarlyView.
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley   +1 more source

Optimising the selection of food items for FFQs using Mixed Integer Linear Programming. [PDF]

Public Health Nutr, 2015
Gerdessen JC, Souverein OW, van 't Veer P, de Vries JH.   +3 more
europepmc   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

Energy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo, Lei Sun, Rong Sun, Jun Jia, Peng Xiao, Hailong Ruan, Xin Jiang   +6 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Classifying the Progression of Ductal Carcinoma from Single-Cell Sampled Data via Integer Linear Programming: A Case Study. [PDF]

IEEE/ACM Trans Comput Biol Bioinform, 2016
Catanzaro D, Shackney SE, Schaffer AA, Schwartz R.   +3 more
europepmc   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source