Songjian Chai
Electrical and Electronic Engineering · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 6 citations into it
Whom Songjian Chai trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hilbert J. Kappen (in Artificial Intelligence)
- Seung Ho Hong (in Electrical and Electronic Engineering)
- Renzhi Lu (in Electrical and Electronic Engineering)
Papers from Songjian Chai's perspective
Ordered by how strongly the researchers Songjian Chai trusts endorse each paper. Same corpus, a different order for every researcher.
- A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach (Applied Energy)
- Q-learning
- On-Line Building Energy Optimization Using Deep Reinforcement Learning (IEEE Transactions on Smart Grid)
- Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning (IEEE Transactions on Smart Grid)
- Evaluating MPPT Converter Topologies Using a Matlab PV Model
- Introduction to Reinforcement Learning
- Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network (IEEE Transactions on Smart Grid)
- Optimal control theory and the linear bellman equation
- Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers (IEEE Access)
- Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax
Their papers
- A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management (2020) — 354 citations