Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

Home Energy Management Systems (HEMS) are increasingly relevant for demand-side management at the residential level by collecting data (energy, weather, electricity prices) and controlling home appliances or storage systems. This control can be performed with classical models that find optimal solut...

Full description

Bibliographic Details
Main Authors: António Corte Real, G. Pontes Luz, J.M.C. Sousa, M.C. Brito, S.M. Vieira
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Energy and AI
Subjects:
Energy management system
Deep reinforcement learning
Demand-side management
Load forecasting
Deep learning
Energy storage systems
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824000132

Internet

http://www.sciencedirect.com/science/article/pii/S2666546824000132

Similar Items