A comparative analysis of federated learning strategies for short-term photovoltaic power forecasting DOI
Vasilis Michalakopoulos,

Leonidas Spyropoulos,

Loukas Ilias

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4223 - 4235

Published: April 8, 2025

Language: Английский

Hybrid Transformer Model with Liquid Neural Networks and Learnable Encodings for Buildings’ Energy Forecasting DOI Creative Commons

Antonesi Gabriel,

Tudor Cioara, Ionuț Anghel

et al.

Energy and AI, Journal Year: 2025, Volume and Issue: unknown, P. 100489 - 100489

Published: Feb. 1, 2025

Language: Английский

Citations

1
Multi-timescale optimization scheduling of integrated energy systems oriented towards generalized energy storage services DOI Creative Commons
Yunshou Mao,

Zhihong Cai,

Xianan Jiao

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 12, 2025

Abstract This paper addresses the limitations of existing research that focuses on single-sided resources and two-timescale optimization, overlooking coordinated response various energy storage across different timescales in comprehensive systems. To tackle these shortcomings, study integrates flexible demand-side resources, such as electric vehicles (EVs), hydrogen storage, air conditioning clusters, generalized storage. It explores their impact operation cost system three stages: day-ahead, intraday, real-time. The establishes an optimization scheduling model for mobile virtual considering physical temporal constraints devices, aiming to minimize operational cost. day-ahead stage employs C&CG address uncertainty wind photovoltaic power generations, while intraday synergizes gas turbines, substitutable transferable loads mitigate renewable fluctuations. real-time leverages clusters rapid deviations. Case studies validate effectiveness model, demonstrating multi-timescale systems can significantly reduce costs enhance reliability.

Language: Английский

Citations

0
Ensemble Machine Learning Models for Estimating Energy Savings from Efficiency Measures in Buildings DOI
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas

et al.

Learning and analytics in intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 177 - 197

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimization Model for Scheduling Flexible Loads to Mitigate Energy Peaks DOI
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas

et al.

Learning and analytics in intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 201 - 225

Published: Jan. 1, 2025

Language: Английский

Citations

0
Deep Learning Models for Short-Term Forecasting of Photovoltaic Energy Production DOI
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas

et al.

Learning and analytics in intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 87 - 127

Published: Jan. 1, 2025

Language: Английский

Citations

0
The Role of Artificial Intelligence in Transforming the Energy Sector: A Comprehensive Review DOI
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas

et al.

Learning and analytics in intelligent systems, Journal Year: 2025, Volume and Issue: unknown, P. 21 - 61

Published: Jan. 1, 2025

Language: Английский

Citations

0
A comparative analysis of federated learning strategies for short-term photovoltaic power forecasting DOI
Vasilis Michalakopoulos,

Leonidas Spyropoulos,

Loukas Ilias

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4223 - 4235

Published: April 8, 2025

Language: Английский

Citations

0