An Ensemble Framework for Short-Term Load Forecasting Based on TimesNet and TCN

Energies, Journal Year: 2023, Volume and Issue: 16(14), P. 5330 - 5330

Published: July 12, 2023

Accurate and efficient short-term power load forecasting is crucial for ensuring the stable operation of systems rational planning electricity resources. However, data are often characterized by nonlinearity instability due to external factors such as meteorological conditions day types, making accurate challenging. While some hybrid models can effectively capture spatiotemporal features data, they overlook multi-periodicity leading suboptimal feature extraction efficiency. In this paper, a novel framework based on TimesNet temporal convolutional network (TCN) proposed. Firstly, original preprocessed reconstruct matrix. Secondly, transforms one-dimensional time series into set two-dimensional tensors multiple periods, capturing dependencies within different scales relationships between in data. Then, employed further extract long-term enabling more global pattern be obtained information. Finally, results achieved from fully connected layer extracted features. To verify effectiveness generalization proposed model, experiments have been conducted ISO-NE Southern China datasets. Experimental show that model greatly outperforms long memory (LSTM), TCN, TimesNet, TCN-LSTM, TimesNet-LSTM models. The reduces mean absolute percentage error 20% 43% dataset 10% 31% dataset, respectively.

Language: Английский

---

Powering the Future: A Comprehensive Review of Battery Energy Storage Systems

Energies, Journal Year: 2023, Volume and Issue: 16(17), P. 6344 - 6344

Published: Sept. 1, 2023

Global society is significantly speeding up the adoption of renewable energy sources and their integration into current existing grid in order to counteract growing environmental problems, particularly increased carbon dioxide emission last century. Renewable have a tremendous potential reduce emissions because they practically never produce any or other pollutants. On hand, these are usually influenced by geographical location, weather, factors that stochastic nature. The battery storage system can be applied store produced RESs then utilized regularly within limits as necessary lessen impact intermittent nature sources. main purpose review paper present state art systems identify advantages disadvantages. At same time, this helps researchers engineers field find out most appropriate configuration for particular application. This study offers thorough analysis with regard chemistries, power electronics, management approaches. also detailed applications investigates shortcomings best architectures pinpoint areas require further study.

Language: Английский

---

Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 94, P. 112497 - 112497

Published: June 12, 2024

Language: Английский

---

Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 10137 - 10137

Published: June 26, 2023

Rural electrification is necessary for both the country’s development and well-being of villagers. The current study investigates feasibility providing electricity to off-grid villages in Indian state Odisha by utilizing renewable energy resources that are currently available area. However, due intermittent nature sources, it highly improbable ensure a continuous supply areas. To reliable areas, three battery technologies have been incorporated find most suitable system In addition, we evaluated various demand side management (DSM) techniques assessed which would be our assess efficiency system, applied different metaheuristic algorithms, results showed great promise. Based on findings, clear energy-conservation-based DSM ideal option From all algorithms tested, salp swarm algorithm demonstrated best performance study.

Language: Английский

---

A multilayer voltage intelligent control strategy for distribution networks with V2G and power energy Production-Consumption units

International Journal of Electrical Power & Energy Systems, Journal Year: 2024, Volume and Issue: 159, P. 110055 - 110055

Published: June 1, 2024

The large-scale application of distributed power generation and the prospects vehicle to grid (V2G) technology lead unstable operating voltage distribution network, but also new possible approaches regulation system. Therefore, a multilayer intelligent control strategy is proposed for network with V2G energy production-consumption units (PECUs). First, model PECU includes facilities such as electric (EV) charging stations (CSs), urban loads, energy. basic unit that can accept scheduling, provide flexible resources system, enhance system capabilities. Second, based on impact process demand EV users, CS frequency modulation controllable boundary evaluation sum response were obtained, which enable CSs participate in regulation. Furthermore, address complex engineering tasks hidden rewards comprehensive control, an evolutionary deep reinforcement learning (EDRL) algorithm applied improved novelty search operations. This further enhances scalability agent design structure network. Finally, simulation results show models fully utilize capabilities while satisfying internal supply balance PECUs. has best coordinated ability, compared particle swarm optimization (PSO), losses are reduced by 23.93 %, deviations significantly lowered 71.95 it ensures demands reducing discharge EVs 6 times.

Language: Английский

---

Optimization of Grid Energy Balance Using Vehicle-to-Grid Network System

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 1008 - 1008

Published: Feb. 21, 2024

This paper proposes a methodological way to compensate for the imbalance between energy generation and consumption using battery block from electric vehicles as an reservoir through well-known vehicle-to-grid system (V2G). method is based on simulation process developed by authors that takes into consideration daily fluctuations in well power level generated source, either conventional, renewable, or hybrid. study shows very large vehicle fleets, rendered non-viable, since remaining allows be usable during daytime avoids having grid imbalance, only allowing it cover percentage of which proposed methodology may optimize. The analysis also viability when being applied small fleet vehicles, not compensating but preserving required make run. predicting optimum size battery, depends level, coverage factor fleet.

Language: Английский

---

Energy management controllers: strategies, coordination, and applications

Energy Informatics, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 18, 2024

Abstract Energy management controllers (EMCs) are pivotal for optimizing energy consumption and ensuring operational efficiency across diverse systems. This review paper delves into the various control strategies utilized by explores their coordination mechanisms. Additionally, it examines architectures of real-world implementations. The surveys a spectrum EMCs, including conventional-based, rule-based, optimization-based, hybrid methods, commercial software-based approaches, highlighting respective advantages drawbacks. It investigates how these coordinated within complex systems to achieve optimal performance adaptability. Furthermore, outlines different controllers, ranging from centralized decentralized designs, discussing suitability applications impact on system performance. Real-world in sectors such as smart grids, buildings, industrial processes, transportation examined. Case studies examples demonstrate efficacy addressing specific challenges achieving desired outcomes. Overall, this provides valuable insights current landscape controller design implementation, offering direction future research development pursuit optimization sustainability.

Language: Английский

---

Optimal planning of multi-type renewable energy resources and electric vehicle charging stations under resilient charging tariff using Gorilla Troops optimizer

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 98, P. 112908 - 112908

Published: July 25, 2024

Language: Английский

---

Assessing the Impact of Distributed Energy Resources on Overcurrent Protection in Microgrids for Enhanced Effectiveness

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104461 - 104461

Published: Feb. 1, 2025

Language: Английский

---

Renewable Energy in Electric Vehicle Charging: Comprehensive Analysis via Bibliometric and Thematic Analyses

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 221 - 244

Published: Jan. 1, 2025

Language: Английский

---