[HTML][HTML] A comprehensive review on demand side management and market design for renewable energy support and integration

S Panda, S Mohanty, PK Rout, BK Sahu, SM Parida… - Energy Reports, 2023 - Elsevier
The traditional power system is facing significant transformations due to the integration of
emerging technologies, renewable energy sources (RES), and storage devices. This review …

[HTML][HTML] Grid-tied solar and biomass hybridization for multi-family houses in Sweden: An optimal rule-based control framework through machine learning approach

A Behzadi, S Sadrizadeh - Renewable energy, 2023 - Elsevier
This article proposes a cutting-edge smart building design that contributes to sustainable
development objectives by fostering clean energy, facilitating sustainable cities and …

[HTML][HTML] Artificial neural network-based fault detection and isolation in a parabolic-trough solar plant with defocusing strategy

S Ruiz-Moreno, AJ Gallego, EF Camacho - Solar Energy, 2023 - Elsevier
Fault detection is crucial for ensuring optimal operation and maintenance of solar plants.
This paper proposes a methodology for fault detection and isolation using artificial neural …

[HTML][HTML] Conditional scenario-based energy management algorithm with uncertain correlated forecasts

E González, J Sanchis, JV Salcedo… - Journal of Energy …, 2024 - Elsevier
This paper introduces the application of the novel approach known as Conditional Scenario-
Based Model Predictive Control (CSB-MPC) into energy management in a low voltage …

Design and Development of a Conceptual Solar Energy Laboratory for District Heating Applications

J Chung, S Sukumaran, A Hlebnikov, A Volkova - Solar, 2023 - mdpi.com
The decarbonization of the district heating (DH) sector is receiving attention worldwide.
Solar energy and heat pump technologies are widely considered in existing and new DH …

[HTML][HTML] Conditional scenario-based model predictive control

E González, J Sanchis, JV Salcedo… - Journal of the Franklin …, 2023 - Elsevier
This paper proposes a novel MPC approach called conditional scenario-based model
predictive control (CSB-MPC), developed for discrete-time linear systems affected by …

Dynamic characteristics and control method of the solar-coal energy complementary system

X Han, D Liu, H Li, Y Wang, D Wang - Energy, 2024 - Elsevier
The solar-coal energy complementary technology is an effective way to use solar energy for
power generation. In this work, a 330 MW coal-fired power generation unit, with an …

Nonlinear and infinite gain scheduling neural predictive control of the outlet temperature in a parabolic trough solar field: A comparative study

Y Himour, M Tadjine, MS Boucherit - Engineering Applications of Artificial …, 2023 - Elsevier
Solar thermal plants have high nonlinearities and non-manipulated energy source which
make their control task a very challenging work. Linear controllers cannot cope with …

Controlling a House's Air-Conditioning Using Nonlinear Model Predictive Control

BK Oleiwi, AH Sabry - IEEE Embedded Systems Letters, 2024 - ieeexplore.ieee.org
As per literature, there is a potential for energy savings of (5% to 20%) using building
embedded control systems. This letter aims to control a house air-conditioning system using …

[HTML][HTML] Comparative study of time-series forecasting models for wind power generation in Gujarat, India

S Mahata, P Harsh, V Shekher - e-Prime-Advances in Electrical …, 2024 - Elsevier
The rapid rate of transformation in the power sector of India has placed a significant
emphasis on robust grids and distributed generation units. The observable shift in the …