Heuristics for Home Appliances Scheduling Problems with Energy Consumption Bounds DOI
Sebastián Taboh

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

In this paper we consider the problem of scheduling two types home appliances: ones with fixed power and flexible operation time others power. We energy consumption bounds that depend on day, which modify considerably computational complexity appliance problems. Additionally, also take into account possibility appliances could be interrupted. The goal decision-making process is to minimize electricity bill paid by users discomfort perceived them, according a desired-tradeoff, subject restrictions involved. Since these problems turn out NP-hard, describe several heuristics designed, explaining their foundations. Finally, analyze results obtained for instances generated present best algorithms employ different priorities might have.

Язык: Английский

Optimal load forecasting and scheduling strategies for smart homes peer-to-peer energy networks: A comprehensive survey with critical simulation analysis DOI Creative Commons
Ali Raza, Jingzhao Li,

Muhammad Adnan

и другие.

Results in Engineering, Год журнала: 2024, Номер 22, С. 102188 - 102188

Опубликована: Май 3, 2024

The home energy management (HEM) sector is going through an enormous change that includes important elements like incorporating green power, enhancing efficiency forecasting and scheduling optimization techniques, employing smart grid infrastructure, regulating the dynamics of optimal trading. As a result, ecosystem players need to clarify their roles, develop effective regulatory structures, experiment with new business models. Peer-to-Peer (P2P) trading seems be one viable options in these conditions, where consumers can sell/buy electricity to/from other users prior totally depending on utility. P2P enables exchange between prosumers, thus provide more robust platform for This strategy decentralizes market than it did previously, opening up possibilities improving trade customers Considering above scenarios, this research provides extensive insight structure, procedure, design, platform, pricing mechanism, approaches, topologies possible futuristic while examining characteristics, pros cons primary goal determining whichever approach most appropriate given situation HEMs. Moreover, HEMs load framework simulation model also proposed analyze network critically, paving technical directions scientific researchers. With cooperation, age technological advancements ushering intelligent, interconnected, reactive urban environment are brought life. In sense, path living entails reinventing as well how people interact perceive dwellings larger city. Finally, work comprehensive overview challenges terms strategies, solutions, future prospects.

Язык: Английский

Процитировано

20

SAARC super smart grid: Navigating the future - unleashing the power of an energy-efficient integration of renewable energy resources in the saarc region DOI
Ali Raza, Marriam Liaqat,

Muhammad Adnan

и другие.

Computers & Electrical Engineering, Год журнала: 2024, Номер 118, С. 109405 - 109405

Опубликована: Июль 9, 2024

Язык: Английский

Процитировано

10

Review of vehicle to grid integration to support power grid security DOI Creative Commons
Ye Yang, Wen Wang, Jian Qin

и другие.

Energy Reports, Год журнала: 2024, Номер 12, С. 2786 - 2800

Опубликована: Сен. 2, 2024

Язык: Английский

Процитировано

9

A Review on Socio-technical Transition Pathway to European Super Smart Grid: Trends, Challenges and Way Forward via Enabling Technologies DOI Creative Commons

Herman Zahid,

Adil Zulfiqar, Muhammad Adnan Khan

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104155 - 104155

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Cost-effective optimization of on-grid electric vehicle charging systems with integrated renewable energy and energy storage: An economic and reliability analysis DOI
Mohd Bilal, Jamiu O. Oladigbolu, Asad Mujeeb

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 100, С. 113170 - 113170

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

6

Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management DOI Creative Commons
Ashkan Safari, Mohammadreza Daneshvar, Amjad Anvari‐Moghaddam

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(23), С. 11112 - 11112

Опубликована: Ноя. 28, 2024

Artificial intelligence (AI) and machine learning (ML) can assist in the effective development of power system by improving reliability resilience. The rapid advancement AI ML is fundamentally transforming energy management systems (EMSs) across diverse industries, including areas such as prediction, fault detection, electricity markets, buildings, electric vehicles (EVs). Consequently, to form a complete resource for cognitive techniques, this review paper integrates findings from more than 200 scientific papers (45 reviews 155 research studies) addressing utilization EMSs its influence on sector. additionally investigates essential features smart grids, big data, their integration with EMS, emphasizing capacity improve efficiency reliability. Despite these advances, there are still additional challenges that remain, concerns regarding privacy integrating different systems, issues related scalability. finishes analyzing problems providing future perspectives ongoing use EMS.

Язык: Английский

Процитировано

6

IntDEM: an intelligent deep optimized energy management system for IoT-enabled smart grid applications DOI

P. Ganesh,

B. Meenakshi Sundaram, Praveen Kumar Balachandran

и другие.

Electrical Engineering, Год журнала: 2024, Номер unknown

Опубликована: Июль 24, 2024

Язык: Английский

Процитировано

4

Review of energy management systems and optimization methods for hydrogen‐based hybrid building microgrids DOI Creative Commons
Fahad Ali Sarwar, Ignacio Hernando‐Gil, Ionel Vechiu

и другие.

Energy Conversion and Economics, Год журнала: 2024, Номер 5(4), С. 259 - 279

Опубликована: Авг. 1, 2024

Abstract Renewable energy‐based microgrids (MGs) strongly depend on the implementation of energy storage technologies to optimize their functionality. Traditionally, electrochemical batteries have been predominant means storage. However, technological advancements led recognition hydrogen as a promising solution address long‐term requirements microgrid systems. This study conducted comprehensive literature review aimed at analysing and synthesizing principal optimization control methodologies employed in hydrogen‐based within context building infrastructures. A comparative assessment was evaluate merits disadvantages different approaches. The techniques for management are categorized based predictability, deployment feasibility, computational complexity. In addition, proposed ranking system facilitates an understanding its suitability diverse applications. encompasses deterministic, stochastic, cutting‐edge methodologies, such machine learning‐based approaches, compares discusses respective merits. key outcome this research is classification various strategy MG, along with mechanism identify which will be suitable under what conditions. Finally, detailed examination advantages strategies controlling optimizing hybrid systems emphasis utilization provided.

Язык: Английский

Процитировано

4

Design and Development of Grid Connected Renewable Energy System for Electric Vehicle Loads in Taif, Kingdom of Saudi Arabia DOI Creative Commons
Mohd Bilal, Pitshou N. Bokoro, Gulshan Sharma

и другие.

Energies, Год журнала: 2024, Номер 17(16), С. 4088 - 4088

Опубликована: Авг. 17, 2024

Globally, the integration of electric vehicles (EVs) in transportation sector represents a significant step towards achieving environmental decarbonization. This shift also introduces new demand for power within utility grid network. study focuses on design and development grid-connected renewable energy system tailored to meet EV load demands Taif, Kingdom Saudi Arabia (KSA). The sources, specifically solar photovoltaic (SPV) wind turbines (WT), is explored context economic feasibility reliability. Key considerations include optimizing efficiently handle fluctuating charging while minimizing reliance conventional power. Economic analyses reliability assessments are conducted evaluate performance proposed system. article discusses technical sizing hybrid systems, reduction, net present cost selected location. A rigorous sensitivity analysis performed determine impact major variables such as inflation rate, real discount irradiation, Lack Power Supply Probability (LPSP) performance. results demonstrate that Pufferfish Optimization Algorithm (PFO) significantly outperforms other metaheuristic algorithms documented literature, well HOMER software. found best option operating stations at findings underscore potential sustainable solutions urban environments like highlighting importance integrating technologies growing with enhanced efficiency initiative seeks pave way greener more resilient infrastructure, aligning global efforts clean solutions.

Язык: Английский

Процитировано

4

Transforming Smart Homes Via P2P Energy Trading Using Robust Forecasting and Scheduling Framework DOI Creative Commons
Ali Raza, Jingzhao Li,

Muhammad Adnan

и другие.

Results in Engineering, Год журнала: 2024, Номер 23, С. 102766 - 102766

Опубликована: Авг. 24, 2024

With the advent of smart grids, advanced information infrastructures, metering facilities, bidirectional exchange information, and battery storage home area networks have all transformed electricity consumption energy efficiency. There is a significant shift in management structure from traditional centralized infrastructure to flexible demand side driven cyber-physical power systems with clean system. These changes significantly evolved (HEM) space. Consequently, stakeholders must define their responsibilities, create efficient regulatory frameworks, test out novel commercial strategies. P2P trading appears be feasible solution these circumstances, allowing users trade one another before becoming completely reliant on utility. offers more stable platform for by facilitating between prosumers consumers. This research proposes generation prediction techniques HEMS optimal using Multi-Objective Optimization model. An enhanced Wild Horse technique was first used summarize historical records' qualities. Then, Bi-LSTM predict values. Furthermore, Grasshopper optimization (GHO) approach employed fine-tune model's hyperparameters. The framework offered probabilistic fault evaluation that upholds load flow balance need supply continuous operations. It results an intelligent community transforming cities into ones, opening new avenues scientific terms technological developments.

Язык: Английский

Процитировано

4