Aleksandar Dedinec
Electrical and Electronic Engineering · 2016
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 15 citations into it
- Artificial Intelligence — 8 citations into it
Whom Aleksandar Dedinec trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Aleksandar Dedinec's perspective
Ordered by how strongly the researchers Aleksandar Dedinec trusts endorse each paper. Same corpus, a different order for every researcher.
- A Fast Learning Algorithm for Deep Belief Nets
- A Practical Guide to Training Restricted Boltzmann Machines
- Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system
- Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals (IEEE Transactions on Neural Networks and Learning Systems)
- Time series forecasting using a deep belief network with restricted Boltzmann machines
- Load forecasting, dynamic pricing and DSM in smart grid: A review
- Optimal modeling and forecasting of the energy consumption and production in China
- Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
- Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting
- Pattern-based local linear regression models for short-term load forecasting
Their papers
- Deep belief network based electricity load forecasting: An analysis of Macedonian case (2016) — 280 citations