Energy Community Consumption and Generation Dataset with Appliance Allocation

Gonçalves, Calvin; Barreto, Rúben; Faria, Pedro; Gomes, Luís; Vale, Zita

doi:10.1016/j.ifacol.2022.07.050

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…Hernandez-Matheus et al [175] outline the development of a local EC concept, drawing from an analysis of 25 EC projects, and it involves a comprehensive literature review categorizing ML algorithms for various local EC applications, including forecasting, storage optimization, energy management, power stability, security, and energy transactions. C. Goncalves et al [176] emphasized the need for extensive data in testing innovative energy models. They tackled the issue of costly and time-consuming on-site load data collection by creating a dataset for a residential community.…”

Section: Data Monitoring and Analyticsmentioning

confidence: 99%

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Ahmed,

Ali,

Ciocia

et al. 2024

Energies

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The Renewable Energy Community (REC) in Europe promotes renewable energy sources (RESs), offering social, economic, and environmental benefits. This new entity could alter consumer energy relationships, requiring self-consumption, energy sharing, and full utilization of RESs. Modernizing energy systems within the REC requires addressing self-consumption, energy sharing, demand response, and energy management system initiatives. The paper discusses the role of decentralized energy systems, the scenarios of the REC concept and key aspects, and activities involving energy generation, energy consumption, energy storage systems, energy sharing, and EV technologies. Moreover, the present work highlights the research gap in the existing literature and the necessity of addressing the technological elements. It also highlights that there is no uniform architecture or model for the REC, like in the case of microgrids. Additionally, the present work emphasizes the role and importance of technological elements in RECs, suggesting future recommendations for EMS, DSM, data monitoring and analytics, communication systems, and the software or tools to ensure reliability, efficiency, economic, and environmental measures. The authors also highlight the crucial role of policymakers and relevant policies, which could help in implementing these technological elements and show the importance of the RECs for a sustainable energy shift and transition.

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Section: Data Monitoring and Analyticsmentioning

confidence: 99%

Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview

Ahmed,

Ali,

Ciocia

et al. 2024

Energies

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“…The data, measured in one-second intervals, is available online and intended for use by researchers to develop realistic load models and analyze demand response algorithms for home energy management. Another recent data document [22] discusses the construction of a data set of the energy consumption behavior of a residential community, including photovoltaic generation and appliance usage profiles. The dataset was based on real data collected from 50 residential households and a public building.…”

Section: Available Datasetsmentioning

confidence: 99%

Design of Energy Communities and Data-Sharing: Format and Open Data

Guerrazzi,

Thomopulos,

Fioriti

et al. 2023

Energies

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Governments are promoting energy community (EC) policies to encourage joint investment and the operation of shared energy assets by citizens, industries, and public authorities, with the aim of promoting economic, social, and environmental benefits. However, ECs require appropriate planning and energy management strategies, which require data that are rarely clean and well-structured. Data providers rarely adhere to a common format for data sharing, which hinders the development of ECs. As the number of ECs is expected to grow significantly, this poses significant issues for stakeholders to quickly and efficiently develop projects. To address this issue, in this paper we propose a literature-based analysis and classification to derive the major data needs for EC planning, as well as a template format for data sharing. Our literature review on ECs successfully identifies the main data required to properly describe this system and its components. Their classification further clarifies that data structures shall account for tabular-like data of various types and flexible dimentionality, or cardinality. A public release of an open dataset for a case study in Pisa, Italy is also provided, supported by realistic or real data for testing the sizing and operation of ECs. The results suggest that data standard practices are needed, and this paper can lay the foundation for their standardization for ECs to fast-forward their deployment as support policy and technical decision-making.

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“…The area of interest might include its usage for demand response models and machine learning algorithms, targeted energy and retrofit solutions for smart buildings, survey of appliance utilization, and data on energy consumption and generation. The current dataset, publicly available in [6] , was already used by the authors to demonstrate the application of new energy-related models [7 , 8] , and [9] . Due to the variability of renewable energy sources, like photovoltaic (PV) generation, and of the usage of individual appliances, this dataset is convenient for real-life simulating and planning of an energy community.…”

Section: Value Of the Datamentioning

confidence: 99%