Abstract: The disclosed technology includes systems and methods for avoiding basis risk by generating variable offer prices for sale of electricity at energy generation sites. The method can include determining a forecasted real-time locational marginal price (RTLMP) for an energy generation site. The method can include generating an offer price for sale of electricity generated by the energy generation site. The method can include posting the offer price in an offer portal. The offer price can be based at least in part on the forecasted RTLMP and one or more agreement parameters. In some embodiments, the offer price can be configured to reduce a basis risk if the offer price clears a market price. That is, in some embodiments, the offer price can clear the market price only if a sum of the one or more agreement parameters is greater than the basis risk.

Abstract: A system and a computer-implemented method for training a learning algorithm for siting a new energy generation facility comprises executing simultaneous simulations over multiple electrical power generation capacities by accessing land parcel characteristics, including electricity transmission and market demand data. A clustering algorithm produces a first training set with expected electricity output for subsets of land parcels. Combined scores are calculated based on cumulative land size, transmission length, and projected market revenue, ranked by highest score, and stored by lowest construction cost. The method identifies changes in land parcel characteristics, determines if the changes exceed a threshold, and, if so, re-trains the clustering algorithm by re-executing the steps using the updated characteristics as a second training set.

Abstract: Computer readable instructions for operations that cause a processor to receive, by a remote recommendation server, a request comprising requestor information characterizing a site of a plurality of sites. The operations cause the processor to receive, by a site database, the requestor information, wherein the site database stores historical data characterizing the plurality of sites over time. The operations also cause the processor to receive, a recommendation engine, the requestor information and generate, by the recommendation engine, a set of plans to curtail the carbon footprint of the site based on the requestor information. The operations further cause the processor to simulate, by the recommendation engine, execution of the set of plans to curtail the carbon footprint of the site and select, by the recommendation engine, a plan of the set of plans to curtail the carbon footprint of the site.

Abstract: Computer readable instructions for operations that cause a processor to receive, by a remote recommendation server, a request comprising requestor information characterizing a site of a plurality of sites. The operations cause the processor to receive, by a site database, the requestor information, wherein the site database stores historical data characterizing the plurality of sites over time. The operations also cause the processor to receive, a recommendation engine, the requestor information and generate, by the recommendation engine, a set of plans to curtail the carbon footprint of the site based on the requestor information. The operations further cause the processor to simulate, by the recommendation engine, execution of the set of plans to curtail the carbon footprint of the site and select, by the recommendation engine, a plan of the set of plans to curtail the carbon footprint of the site.

Abstract: Disclosed is a system and method for identifying various combinations of parcels of land with sufficient transmission, resources, market demand, and available land to build a wind farm or solar farm. Different criteria associated with each parcel of land include land characteristics including size, ownership, tree coverage, elevations, terrain, buildable land, transmission characteristics including substation hardware costs, network upgrades, general tie-in costs, market characteristics including historical locational marginal pricing (LMPs), and resource characteristics including net capacity factor (NCF) of wind or solar. In one example, the present invention identifies clusters of land parcels that minimize the number of land owners, maximize buildable land, minimize transmission cost, maximize NCF, and maximize nodal LMPs.