Dennis van der Meer

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 10 citations into it
• Artificial Intelligence — 8 citations into it

Whom Dennis van der Meer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tao Hong
2. Hao Quan
3. Andrew Gordon Wilson
4. Agathe Girard
5. Shu Fan

Who trusts Dennis van der Meer overall

1. Muhammad Naveed Akhter
2. Saad Mekhilef

Papers from Dennis van der Meer's perspective

Ordered by how strongly the researchers Dennis van der Meer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting
2. Gaussian Process Kernels for Pattern Discovery and Extrapolation
3. Probabilistic electric load forecasting: A tutorial review
4. A review on time series forecasting techniques for building energy consumption
5. Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals (IEEE Transactions on Neural Networks and Learning Systems)
6. Theil's Forecast Accuracy Coefficient: A Clarification
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals (2018) — 75 citations
• Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data (2018) — 115 citations