Solar Forecast and PV-Aware Smart Charging Optimization for Battery and EV
This flow uses the forecast.solar API combined with Tibber electricity price data and Home Assistant entities to optimize the charging strategy for both home batteries (e.g., BYD) and EV wallboxes.
The flow dynamically generates a charging schedule based on solar production forecasts, state of charge (SOC), and dynamic energy prices, using a genetic algorithm optimizer for intelligent charging decisions.
✅ Main Features: Forecast.Solar API Integration: Fetches hourly solar production forecasts based on your specific location and PV system parameters.
Tibber Dynamic Price Integration: Uses live energy price data from Tibber and stores it globally for reuse.
Battery Charging Strategy (Genetic Optimization): Optimizes charge/discharge schedule for your home battery using a genetic algorithm that considers solar forecasts and energy prices.
EV Wallbox Smart Scheduling: Coordinates wallbox charging with solar surplus and electricity prices.
SOC Awareness: Uses the current state of charge from your Home Assistant battery sensors for decision making.
Web Dashboard Chart: Optional chart showing the solar forecast via Node-RED Dashboard UI.
Rate Limit Handling: Built-in rate-limiting to avoid API bans from forecast.solar.
Multi-day Forecast & Flexible Resolution: Supports day-wise forecasts, resolution adjustment (hourly, 15 min, etc.), and dynamic handling of graph outputs.
State Saving: Caches solar forecast and Tibber price data in Node-RED global context for cross-flow usage.
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There is rate limiting built in the subflow not to perform requests more than once every 15 minutes.\n\n# Configuration\n\nIt uses the parameters as described on: http://doc.forecast.solar/doku.php\n\n - `:apikey` - personal API key for registered users\n - `:lat` - latitude of location, -90 (south) … 90 (north); Internal precission is 0.0001 or abt. 10 m\n - `:lon` - longitude of location, -180 (west) … 180 (east); Internal precission is 0.0001 or abt. 10 m\n - `:dec` - plane declination, 0 (horizontal) … 90 (vertical); Internal precission is integer\n - `:az` - plane azimuth, -180 … 180 (-180 = north, -90 = east, 0 = south, 90 = west, 180 = north); Internal precission is integer\n - `:kwp` - installed modules power in kilo watt peak (kWp)\n\nYou can choose between 3 different type of requests. Note that only `estimate` is available on the free plan.\n\n- `estimate` - this is the forecasted estimate that your panels should produce (given the right parameter settings)\n- `history` - historycal data\n- `clear sky` - estimate given if there would be a clear sky tomorrow\n\nIn case of estimates, one of the following options can be selected:\n- `watts` - Watts (power) average for the period\n- `watthours/period` - Watt hours (energy) for the period\n- `watthours` - Watt hours (energy) summarized over the day\n- `watthours/day` - Watt hours (energy) summarized for each day\n\nFor the graph output there are some extra settings available:\n\n- _Output in kWh_ - when checked output can be set to kWh instead of Wh\n- _Show todays forecast_ - whether or not to include todays forecast\n- _Days to forecast_ - the number of days to forecast (excluding today). Note that you can not get more days forecasted than your API key allows.\n- _Widen graph_ - widen the graph to only show non-zero values\n- _Show day instead of date_ - Show the day instead of the date in the series and labels\n\n# Input \n\nThe input is for triggering the solar forecast request. \nIt triggers when injecting a message into the node.\n\n# Output\n\nThere are two outputs. The first output is an object with the result and a status message stored into the `msg.payload`.\n\nMost important is the `msg.payload.result`, which contains the estimated production of the panels. E.g.:\n\n```\npayload: object\n result: object\n 2022-11-28: 23\n 2022-11-29: 35\n```\n\nThe `msg.payload.message` gives information on how successful the query was, the exitcode of the query and the status of the rate limit (how many queries you have left).\n\nThe **second** output can be directly linked to a line or a bar chart, quickly giving a once-glance overview for the predicted forecast.\n\n# Status\n\nInitially the status of the note will be a blue dot, showing \"_Unknown limit_\", as it is unaware of the set ratelmits. After the first request, the returned ratelimit will be put in the text in the form of `remaining/limit`. If more than half the limit is remaining, the dot will be green. If less then half the limit is remaining, the dot will be yellow. If no limit is left, the dot will turn red.\nPlease keep in mind that the ratelimit will be reset after one hour, so you can send a new request after that hour.\n\nIf something is wrong in the API request, the dot will turn red\nand the message will contain the msg.payload with the error. 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Object.entries(forecast).map(([start, value]) => ({ start, value }));\n\nvar now = new Date(); // Aktuelles Datum und Uhrzeit\n\n// Funktion, um Daten ab der aktuellen Zeit zu filtern\nfunction filterCurrentAndFutureData(data) {\n return data.filter(item => {\n var startTime = new Date(item.start);\n return startTime >= now;\n });\n}\n\n// Daten ab der aktuellen Zeit filtern\nvar filteredPriceData = filterCurrentAndFutureData(global.get(\"TibberPriceReceiver\"));\nvar filteredProductionForecast = filterCurrentAndFutureData(arrayForecast);\n\n// Angepasstes Payload-Objekt\nmsg.payload = {\n priceData: filteredPriceData,\n productionForecast: filteredProductionForecast,\n soc: msg.soc\n};\n\nreturn msg;\n","outputs":1,"timeout":0,"noerr":0,"initialize":"","finalize":"","libs":[],"x":1270,"y":500,"wires":[["6db9f243d4b2cb46","26b101e163f651cd","66205a1c02a60778"]]},{"id":"2441bf4d6dfecf41","type":"debug","z":"3ab217fef43e55c3","name":"IQ-V2-Akku-PV-Planung","active":false,"tosidebar":true,"console":true,"tostatus":true,"complete":"payload","targetType":"msg","statusVal":"payload","statusType":"auto","x":2380,"y":440,"wires":[]},{"id":"58aa873e486de080","type":"ha-sensor","z":"3ab217fef43e55c3","name":"IQ V2 Akku-PV Planung","entityConfig":"5e74c5861a24044b","version":0,"state":"payload","stateType":"str","attributes":[{"property":"Schedule","value":"payload.schedule","valueType":"msg"}],"inputOverride":"allow","outputProperties":[],"x":2130,"y":440,"wires":[["2441bf4d6dfecf41"]]},{"id":"66205a1c02a60778","type":"strategy-genetic-charging","z":"3ab217fef43e55c3","name":"IQ V2 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JSON.stringify(scheduleData));\nconst productionForecast = newPayload.productionForecast; // This is an array\n// node.warn(\"productionForecast: \" + JSON.stringify(productionForecast));\n\nlet schedule = []\nfor (let i = 0; i < scheduleData.length; i++) {\n let startAt = new Date(scheduleData[i].start);\n let fixed_setpoint = scheduleData[i].socStart;\n let adjustments = scheduleData[i].socStart;\n\n // Find the matching productionForecast for this startAt time\n let matchingForecast = productionForecast.find(forecast => new Date(forecast.start).getTime() === startAt.getTime());\n\n // Add data to schedule\nschedule.push({\n \"startAt\": startAt,\n \"price\": newPayload.priceData[i].value, // Assuming priceData is in the same order and length as schedule\n \"SOCstart\": adjustments,\n \"setpoint\": fixed_setpoint,\n \"productionForecast\": matchingForecast ? matchingForecast.value : 0 // This will be null if no matching forecast was found\n});\n\n}\n\n// What is the setpoint now?\nconst now = new Date();\nconst currentSchedule = scheduleData.find(item => new Date(item.start) <= now && new Date(item.end) > now);\nconst setpoint_now = currentSchedule ? currentSchedule.activity + currentSchedule.socStart : null;\n\nmsg = {\n \"payload\": {\n \"setpoint_now\": setpoint_now,\n \"schedule\": schedule\n }\n}\n\nreturn msg;\n","outputs":1,"timeout":"","noerr":0,"initialize":"","finalize":"","libs":[],"x":1870,"y":440,"wires":[["58aa873e486de080","063ea21c55ee2891"]]},{"id":"d743c99e3bf3e01f","type":"inject","z":"3ab217fef43e55c3","name":"Tibber 0:30 Nachts Tages Solar forecast","props":[{"p":"payload"}],"repeat":"","crontab":"30 00 * * *","once":true,"onceDelay":"55","topic":"","payload":"","payloadType":"date","x":240,"y":340,"wires":[["77dbb6adc1e8ac35","db874263ab657cc6"]]},{"id":"db874263ab657cc6","type":"api-current-state","z":"3ab217fef43e55c3","name":"BYD Ladezustand aktuell 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Node Code\n\n// Stellen Sie sicher, dass das 'schedule' Array verfügbar ist und der erste Eintrag existiert\nif (msg.payload && msg.payload.schedule && msg.payload.schedule.length > 0) {\n var firstSocEnd = msg.payload.schedule[0].socEnd;\n\n // Sicherstellen, dass der Wert mindestens 5 und maximal 90 ist\n firstSocEnd = Math.max(5, Math.min(90, firstSocEnd));\n\n // Umwandeln des Wertes in eine Ganzzahl, falls notwendig\n firstSocEnd = Math.floor(firstSocEnd);\n\n // node.warn(\"Korrigierter und ganzzahliger endSoc: \" + firstSocEnd);\n\n // Setzen des korrigierten und ganzzahligen Ergebnisses in msg.payload für die Ausgabe\n msg.payload = firstSocEnd;\n} else {\n // Loggen eines Fehlers, wenn die Datenstruktur nicht wie erwartet ist\n node.error(\"schedule Daten sind nicht verfügbar oder das Array ist leer.\");\n return null; // Rückgabe von null, wenn keine gültigen Daten vorhanden sind\n}\n\nreturn msg;\n","outputs":1,"timeout":0,"noerr":0,"initialize":"","finalize":"","libs":[],"x":1880,"y":500,"wires":[["5fe4f5e2e62e6796"]]},{"id":"5fe4f5e2e62e6796","type":"debug","z":"3ab217fef43e55c3","name":"EndSoc aktuell","active":false,"tosidebar":true,"console":true,"tostatus":true,"complete":"payload","targetType":"msg","statusVal":"payload","statusType":"auto","x":2190,"y":500,"wires":[]},{"id":"f0c1f0a0.0c7a9","type":"ui_group","name":"Solar Power","tab":"0cedae54fbdb9437","order":1,"disp":true,"width":"6","collapse":false,"className":""},{"id":"5e74c5861a24044b","type":"ha-entity-config","server":"xxx","deviceConfig":"079e69c706821a7d","name":"IQ V2 Akku-PV 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