In this study, we investigated the application of conformal prediction (CP) concept in context short-term electricity price forecasting. particular, determined most important aspects related to utility CP, as well explaining why simple but highly effective idea has proved useful other areas and its characteristics make it promising for power applications. We compared performance CP with various...

Introduction The new “S&T-Function-Application Cross-charting” method offers perspective on how specialized the innovation paths ahead might be. It appears effective at associating novel technology-enabled capabilities to gain functional advantages, and to link those functions to potential applications. Those applications can be associated with target users and most promising markets. This rese...

We examine the economic consequences of a bid-based security-constrained centralized unit commitment paradigm based on three-part offers, which is the prevalent day-ahead market-clearing mechanism in restructured electricity markets in the United States. We then compare this approach with an energy-only auction with self-commitment (such as in Australia) addressing efficiency and pricing as wel...

Given the advances in online data acquisition systems, statistical learning models are increasingly used to forecast wind speed. In electricity markets, farm production forecasts needed for day-ahead, intra-day, and real-time markets. this work, we use a spatiotemporal model that leverages dynamics Using priori knowledge of direction, propose maximum likelihood estimate inverse covariance matri...

The increasing penetrations of distributed renewable generation lead to the need for Citizen Energy Communities. Communities may be able active market players and solve local imbalances. liberalization electricity sector brought wholesale retail competition as a natural evolution markets. In competition, retailers communities compete sign bilateral contracts with consumers. producers, can submi...

Competitive structure of power markets causes various challenges for wind resources to participate in these markets. Indeed, production uncertainty is the main cause of their low income. Thus, they are usually supported by system operators, which is in contrast with the competitive paradigm of power markets. In this paper, a new strategy for increasing the profits of wind resources is proposed....

We study the effect of COVID-19 containment measures on expected stock price volatility in some advanced economies, using event studies with hand-collected minute-level data and panel regressions daily data. find that six-month-ahead indices dropped following announcements initial or re-imposed lockdowns, they did not drop significantly easing lockdowns. Such patterns are as strong for three-mo...

We study the problem of securely building single-commodity multi-markets auction mechanisms. We introduce a novel greedy algorithm and its corresponding privacy preserving implementation using secure multi-party computation. More specifically, we determine the quantity of supply and demand bids maximizing welfare. Each bid is attached to a specific market, but exchanges between different market...